Multirate structures for arbitrary rate error control coding. - Amir Salman Avestimehr; Kambiz Nayebi; Shohreh Kasaei (ICASSP (4), 2003)

Outage-optimal relaying in the low SNR regime. - Amir Salman Avestimehr; David N. C. Tse (ISIT, 2005)

Anytime communication over the Gilbert-Eliot channel with noiseless feedback. - Anant Sahai; Salman Avestimehr; Paolo Minero (ISIT, 2005)

A Deterministic Model for Wreless Relay Networks an its Capacity. - Amir Salman Avestimehr; Suhas N. Diggavi; David N. C. Tse (ITW, 2007)

A Deterministic Approach to Wireless Relay Networks - Amir Salman Avestimehr; Suhas N. Diggavi; David N. C. Tse (CoRR, 2007)

Wireless Network Information Flow - Amir Salman Avestimehr; Suhas N. Diggavi; David N. C. Tse (CoRR, 2007)

Outage Capacity of the Fading Relay Channel in the Low-SNR Regime. - Amir Salman Avestimehr; David N. C. Tse (IEEE Trans. Inf. Theory, 2007)

Approximate capacity of the two-way relay channel: A deterministic approach. - Amir Salman Avestimehr; Aydin Sezgin; David N. C. Tse (Allerton, 2008)

Diversity-multiplexing tradeoff of the half-duplex relay channel. - Sameer Pawar; Amir Salman Avestimehr; David N. C. Tse (Allerton, 2008)

Approximate capacity of Gaussian relay networks. - Amir Salman Avestimehr; Suhas N. Diggavi; David Tse (ISIT, 2008)

Distributed universally optimal strategies for interference channels with partial message passing. - Vaneet Aggarwal; Salman Avestimehr; Ashutosh Sabharwal (Allerton, 2009)

Breaking the ℓ1 recovery thresholds with reweighted ℓ1 optimization. - Weiyu Xu; M. Amin Khajehnejad; Amir Salman Avestimehr; Babak Hassibi (Allerton, 2009)

On networks with side information. - Asaf Cohen 001; Amir Salman Avestimehr; Michelle Effros (ISIT, 2009)

Approximate capacity region of the two-pair bidirectional Gaussian relay network. - Babak Hassibi; Aydin Sezgin; M. Amin Khajehnejad; Amir Salman Avestimehr (ISIT, 2009)

Weighted ℓ1 minimization for sparse recovery with prior information. - M. Amin Khajehnejad; Weiyu Xu; Amir Salman Avestimehr; Babak Hassibi (ISIT, 2009)

Approximate capacity of the symmetric half-duplex Gaussian butterfly network. - Amir Salman Avestimehr; Tracey Ho (ITW, 2009)

Capacity region of the deterministic multi-pair bi-directional relay network. - Amir Salman Avestimehr; M. Amin Khajehnejad; Aydin Sezgin; Babak Hassibi (ITW, 2009)

Weighted ℓ1 Minimization for Sparse Recovery with Prior Information - M. Amin Khajehnejad; Weiyu Xu; Amir Salman Avestimehr; Babak Hassibi (CoRR, 2009)

Breaking through the Thresholds: an Analysis for Iterative Reweighted ℓ1 Minimization via the Grassmann Angle Framework - Weiyu Xu; M. Amin Khajehnejad; Amir Salman Avestimehr; Babak Hassibi (CoRR, 2009)

Bidirectional multi-pair network with a MIMO relay: Beamforming strategies and lack of duality. - Aydin Sezgin; Holger Boche; Salman Avestimehr (Allerton, 2010)

On the capacity of multi-hop wireless networks with partial network knowledge. - Alireza Vahid; Vaneet Aggarwal; Amir Salman Avestimehr; Ashutosh Sabharwal (Allerton, 2010)

How (information theoretically) optimal are distributed decisions? - Vaneet Aggarwal; Amir Salman Avestimehr; Ashutosh Sabharwal (CISS, 2010)

Breaking through the thresholds: an analysis for iterative reweighted l1 minimization via the Grassmann angle framework. - Weiyu Xu; M. Amin Khajehnejad; Amir Salman Avestimehr; Babak Hassibi (ICASSP, 2010)

Normalized sum-capacity of interference networks with partial information. - Vaneet Aggarwal; Amir Salman Avestimehr; Ashutosh Sabharwal (ISIT, 2010)

Improved sparse recovery thresholds with two-step reweighted ℓ1 minimization. - M. Amin Khajehnejad; Weiyu Xu; Amir Salman Avestimehr; Babak Hassibi (ISIT, 2010)

The two-user deterministic interference channel with rate-limited feedback. - Alireza Vahid; Amir Salman Avestimehr (ISIT, 2010)

New results on network error correction: Capacities and upper bounds. - Sukwon Kim; Tracey Ho; Michelle Effros; Amir Salman Avestimehr (ITA, 2010)

Improved Sparse Recovery Thresholds with Two-Step Reweighted ℓ1 Minimization - M. Amin Khajehnejad; Weiyu Xu; Amir Salman Avestimehr; Babak Hassibi (CoRR, 2010)

Analyzing Weighted ℓ1 Minimization for Sparse Recovery with Nonuniform Sparse Models - M. Amin Khajehnejad; Weiyu Xu; Amir Salman Avestimehr; Babak Hassibi (CoRR, 2010)

Information Theory Capacity of the two-way relay channel within a constant gap. - Amir Salman Avestimehr; Aydin Sezgin; David N. C. Tse (Eur. Trans. Telecommun., 2010)

On the sum capacity of the Y-channel. - Anas Chaaban; Aydin Sezgin; Amir Salman Avestimehr (ACSCC, 2011)

Maximal k-Clique Scheduling: A simple algorithm to bound maximal independent graph scheduling. - Kanes Sutuntivorakoon; Vaneet Aggarwal; Amir Salman Avestimehr; Ashutosh Sabharwal (Allerton, 2011)

Interference channel with binary fading: Effect of delayed network state information. - Alireza Vahid; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (Allerton, 2011)

Sum degrees-of-freedom of two-unicast wireless networks. - Ilan Shomorony; Amir Salman Avestimehr (ISIT, 2011)

On the sum-capacity with successive decoding in interference channels. - Yue Zhao 007; Chee Wei Tan 001; Amir Salman Avestimehr; Suhas N. Diggavi; Gregory J. Pottie (ISIT, 2011)

On network error correction with limited feedback capacity. - Tracey Ho; Sukwon Kim; Yanbo Yang; Michelle Effros; Amir Salman Avestimehr (ITA, 2011)

Two-Unicast Wireless Networks: Characterizing the Sum Degrees of Freedom - Ilan Shomorony; Amir Salman Avestimehr (CoRR, 2011)

Low-Complexity Near-Optimal Codes for Gaussian Relay Networks - Theodoros K. Dikaliotis; Hongyi Yao; Amir Salman Avestimehr; Sidharth Jaggi; Tracey Ho (CoRR, 2011)

Wireless Network Coding with Local Network Views: Coded Layer Scheduling - Alireza Vahid; Vaneet Aggarwal; Amir Salman Avestimehr; Ashutosh Sabharwal (CoRR, 2011)

On Achieving Local View Capacity Via Maximal Independent Graph Scheduling. - Vaneet Aggarwal; Amir Salman Avestimehr; Ashutosh Sabharwal (IEEE Trans. Inf. Theory, 2011)

Wireless Network Information Flow: A Deterministic Approach. - Amir Salman Avestimehr; Suhas N. Diggavi; David N. C. Tse (IEEE Trans. Inf. Theory, 2011)

Network Error Correction With Unequal Link Capacities. - Sukwon Kim; Tracey Ho; Michelle Effros; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2011)

Cross-Layer Optimization for Wireless Networks With Deterministic Channel Models. - Ziyu Shao; Minghua Chen 001; Amir Salman Avestimehr; Shuo-Yen Robert Li (IEEE Trans. Inf. Theory, 2011)

Analyzing Weighted 1 Minimization for Sparse Recovery With Nonuniform Sparse Models. - M. Amin Khajehnejad; Weiyu Xu; Amir Salman Avestimehr; Babak Hassibi (IEEE Trans. Signal Process., 2011)

Learning beyond local view: Value and information in the bits. - Achaleshwar Sahai; Amir Salman Avestimehr; Ashutosh Sabharwal (CISS, 2012)

Approximating the timely throughput of heterogeneous wireless networks. - Sina Lashgari; Amir Salman Avestimehr (ISIT, 2012)

Is Gaussian noise the worst-case additive noise in wireless networks? - Ilan Shomorony; Amir Salman Avestimehr (ISIT, 2012)

Bounds on the minimum energy-per-bit for bursty traffic in diamond networks. - Ilan Shomorony; Raúl H. Etkin; Farzad Parvaresh; Amir Salman Avestimehr (ISIT, 2012)

Binary fading interference channel with delayed feedback. - Alireza Vahid; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (ISIT, 2012)

On the role of deterministic models in K × K × K wireless networks. - Ilan Shomorony; Amir Salman Avestimehr (ITW, 2012)

Worst-case source for distributed compression with quadratic distortion. - Ilan Shomorony; Amir Salman Avestimehr; Himanshu Asnani; Tsachy Weissman (ITW, 2012)

Divide-and-Conquer: Approaching the Capacity of the Two-Pair Bidirectional Gaussian Relay Network. - Aydin Sezgin; Amir Salman Avestimehr; M. Amin Khajehnejad; Babak Hassibi (IEEE Trans. Inf. Theory, 2012)

Interference Channels With Rate-Limited Feedback. - Alireza Vahid; Changho Suh; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2012)

On the Maximum Achievable Sum-Rate With Successive Decoding in Interference Channels. - Yue Zhao 007; Chee Wei Tan 001; Amir Salman Avestimehr; Suhas N. Diggavi; Gregory J. Pottie (IEEE Trans. Inf. Theory, 2012)

Accuracy of the Morphology Enabled Dipole Inversion (MEDI) Algorithm for Quantitative Susceptibility Mapping in MRI. - Tian Liu; Weiyu Xu; Pascal Spincemaille; Amir Salman Avestimehr; Yi Wang 028 (IEEE Trans. Medical Imaging, 2012)

A rank ratio inequality and the linear degrees of freedom of X-channel with delayed CSIT. - Sina Lashgari; Amir Salman Avestimehr; Changho Suh (Allerton, 2013)

Approximate capacity of the two-user MISO Broadcast Channel with delayed CSIT. - Alireza Vahid; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (Allerton, 2013)

A latent social approach to YouTube popularity prediction. - Amandianeze O. Nwana; Salman Avestimehr; Tsuhan Chen (GLOBECOM, 2013)

On degrees of freedom scaling in layered interference networks with delayed CSI. - Mohammad Javad Abdoli; Amir Salman Avestimehr (ISIT, 2013)

On efficient min-cut approximations in half-duplex relay networks. - Raúl H. Etkin; Farzad Parvaresh; Ilan Shomorony; Amir Salman Avestimehr (ISIT, 2013)

Two-hop interference channels: Impact of linear time-varying schemes. - Ibrahim Issa; Silas L. Fong; Amir Salman Avestimehr (ISIT, 2013)

Impact of topology on interference networks with no CSIT. - Navid Naderializadeh; Amir Salman Avestimehr (ISIT, 2013)

Operational extremality of Gaussianity in network compression, communication, and coding. - Himanshu Asnani; Ilan Shomorony; Amir Salman Avestimehr; Tsachy Weissman (ITW, 2013)

On computing half-duplex relaying capacity in networks with orthogonal channels. - Farzad Parvaresh; Raúl H. Etkin; Ilan Shomorony; Amir Salman Avestimehr (IWCIT, 2013)

On Min-Cut Algorithms for Half-Duplex Relay Networks - Raúl H. Etkin; Farzad Parvaresh; Ilan Shomorony; Amir Salman Avestimehr (CoRR, 2013)

Approximate Sum-Capacity of the Y-Channel. - Anas Chaaban; Aydin Sezgin; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2013)

Timely Throughput of Heterogeneous Wireless Networks: Fundamental Limits and Algorithms. - Sina Lashgari; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2013)

Two-Unicast Wireless Networks: Characterizing the Degrees of Freedom. - Ilan Shomorony; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2013)

Worst-Case Additive Noise in Wireless Networks. - Ilan Shomorony; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2013)

Transmitter cooperation in interference channel with delayed CSIT. - Sina Lashgari; Amir Salman Avestimehr (Allerton, 2014)

How to utilize caching to improve spectral efficiency in device-to-device wireless networks. - Navid Naderializadeh; David T. H. Kao; Amir Salman Avestimehr (Allerton, 2014)

ITLinQ: A new approach for spectrum sharing. - Navid Naderializadeh; Amir Salman Avestimehr (DySPAN, 2014)

Sampling large data on graphs. - Ilan Shomorony; Amir Salman Avestimehr (GlobalSIP, 2014)

Blind MIMO wiretap channel with delayed CSIT. - Sina Lashgari; Amir Salman Avestimehr (GLOBECOM Workshops, 2014)

Communication through collisions: Opportunistic utilization of past receptions. - Alireza Vahid; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (INFOCOM, 2014)

Align-and-forward relaying for two-hop erasure broadcast channels. - David T. H. Kao; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (ISIT, 2014)

Blind wiretap channel with delayed CSIT. - Sina Lashgari; Amir Salman Avestimehr (ISIT, 2014)

A generalized cut-set bound for deterministic multi-flow networks and its applications. - Ilan Shomorony; Amir Salman Avestimehr (ISIT, 2014)

Binary Fading Interference Channel with No CSIT. - Alireza Vahid; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (ISIT, 2014)

Multihop Wireless Networks: A Unified Approach to Relaying and Interference Management. - Ilan Shomorony; Salman Avestimehr (Found. Trends Netw., 2014)

ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems. - Navid Naderializadeh; Amir Salman Avestimehr (IEEE J. Sel. Areas Commun., 2014)

Layered Interference Networks With Delayed CSI: DoF Scaling With Distributed Transmitters. - Mohammad Javad Abdoli; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2014)

Computing Half-Duplex Schedules in Gaussian Relay Networks via Min-Cut Approximations. - Raúl H. Etkin; Farzad Parvaresh; Ilan Shomorony; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2014)

Linear Degrees of Freedom of the $X$ -Channel With Delayed CSIT. - Sina Lashgari; Amir Salman Avestimehr; Changho Suh (IEEE Trans. Inf. Theory, 2014)

Degrees of Freedom of Two-Hop Wireless Networks: Everyone Gets the Entire Cake. - Ilan Shomorony; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2014)

Diamond Networks With Bursty Traffic: Bounds on the Minimum Energy-Per-Bit. - Ilan Shomorony; Raúl H. Etkin; Farzad Parvaresh; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2014)

Capacity Results for Binary Fading Interference Channels With Delayed CSIT. - Alireza Vahid; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2014)

Are generalized cut-set bounds tight for the deterministic interference channel? - Mehrdad Kiamari; Amir Salman Avestimehr (Allerton, 2015)

Coded MapReduce. - Songze Li; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (Allerton, 2015)

Asymptotic justification of bandlimited interpolation of graph signals for semi-supervised learning. - Aamir Anis; Aly El Gamal; Salman Avestimehr; Antonio Ortega (ICASSP, 2015)

Blind index coding over wireless channels: the value of repetition coding. - David T. H. Kao; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (ICC, 2015)

Three-user MISO broadcast channel: How much can CSIT heterogeneity help? - Sina Lashgari; Ravi Tandon; Salman Avestimehr (ICC, 2015)

Topological interference management with just retransmission: What are the "Best" topologies? - Navid Naderializadeh; Aly El Gamal; Amir Salman Avestimehr (ICC, 2015)

When does an ensemble of matrices with randomly scaled rows lose rank? - Aly El Gamal; Navid Naderializadeh; Amir Salman Avestimehr (ISIT, 2015)

A general outer bound for MISO broadcast channel with heterogeneous CSIT. - Sina Lashgari; Ravi Tandon; Amir Salman Avestimehr (ISIT, 2015)

An Approximation Approach to Network Information Theory. - Amir Salman Avestimehr; Suhas N. Diggavi; Chao Tian 002; David N. C. Tse (Found. Trends Commun. Inf. Theory, 2015)

Network Compression: Worst Case Analysis. - Himanshu Asnani; Ilan Shomorony; Amir Salman Avestimehr; Tsachy Weissman (IEEE Trans. Inf. Theory, 2015)

On the Optimality of Treating Interference as Noise. - Chunhua Geng; Navid Naderializadeh; Amir Salman Avestimehr; Syed Ali Jafar (IEEE Trans. Inf. Theory, 2015)

Two-Hop Interference Channels: Impact of Linear Schemes. - Ibrahim Issa; Silas L. Fong; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2015)

Improving the Thresholds of Sparse Recovery: An Analysis of a Two-Step Reweighted Basis Pursuit Algorithm. - M. Amin Khajehnejad; Weiyu Xu; Amir Salman Avestimehr; Babak Hassibi (IEEE Trans. Inf. Theory, 2015)

Interference Networks With no CSIT: Impact of Topology. - Navid Naderializadeh; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2015)

Coded distributed computing: Fundamental limits and practical challenges. - Songze Li; Qian Yu 001; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (ACSSC, 2016)

Coded Distributed Computing: Straggling Servers and Multistage Dataflows. - Songze Li; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (Allerton, 2016)

Poster Abstract: A Scalable Coded Computing Framework for Edge-Facilitated Wireless Distributed Computing. - Songze Li; Qian Yu 001; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (SEC, 2016)

A Unified Coding Framework for Distributed Computing with Straggling Servers. - Songze Li; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (GLOBECOM Workshops, 2016)

Edge-Facilitated Wireless Distributed Computing. - Songze Li; Qian Yu 001; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (GLOBECOM, 2016)

Active learning on weighted graphs using adaptive and non-adaptive approaches. - Eyal En Gad; Akshay Gadde; Amir Salman Avestimehr; Antonio Ortega (ICASSP, 2016)

Active learning for community detection in stochastic block models. - Akshay Gadde; Eyal En Gad; Salman Avestimehr; Antonio Ortega (ISIT, 2016)

Fundamental tradeoff between computation and communication in distributed computing. - Songze Li; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (ISIT, 2016)

Rover-to-Orbiter Communication in Mars: Taking Advantage of the Varying Topology. - Songze Li; David T. H. Kao; Amir Salman Avestimehr (IEEE Trans. Commun., 2016)

Approximate Capacity Region of the MISO Broadcast Channels With Delayed CSIT. - Alireza Vahid; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (IEEE Trans. Commun., 2016)

MISO Broadcast Channel With Hybrid CSIT: Beyond Two Users. - Sina Lashgari; Ravi Tandon; Salman Avestimehr (IEEE Trans. Inf. Theory, 2016)

Coding for edge-facilitated wireless distributed computing with heterogeneous users. - Mehrdad Kiamari; Chenwei Wang 001; Amir Salman Avestimehr (ACSSC, 2017)

Coded fourier transform. - Qian Yu 001; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (Allerton, 2017)

Architectures for coded mobile edge computing. - Songze Li; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (FWC, 2017)

On Heterogeneous Coded Distributed Computing. - Mehrdad Kiamari; Chenwei Wang 001; Amir Salman Avestimehr (GLOBECOM, 2017)

SINR-Threshold Scheduling with Binary Power Control for D2D Networks. - Mehrdad Kiamari; Chenwei Wang 001; Amir Salman Avestimehr; Haralabos C. Papadopoulos (GLOBECOM, 2017)

How to optimally allocate resources for coded distributed computing? - Qian Yu 001; Songze Li; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (ICC, 2017)

Coded TeraSort. - Songze Li; Sucha Supittayapornpong; Mohammad Ali Maddah-Ali; Salman Avestimehr (IPDPS Workshops, 2017)

Communication-aware computing for edge processing. - Songze Li; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (ISIT, 2017)

On the optimality of separation between caching and delivery in general cache networks. - Navid Naderializadeh; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (ISIT, 2017)

Communication-optimal coding designs for caching networks. - Qian Yu 001; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (ITW, 2017)

Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication. - Qian Yu 001; Mohammad Ali Maddah-Ali; Salman Avestimehr (NIPS, 2017)

Coding for Distributed Fog Computing. - Songze Li; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (IEEE Commun. Mag., 2017)

Interference management with mismatched partial channel state information. - Alireza Vahid; Vaneet Aggarwal; Amir Salman Avestimehr; Ashutosh Sabharwal (EURASIP J. Wirel. Commun. Netw., 2017)

Topological Interference Management With Reconfigurable Antennas. - Heecheol Yang; Navid Naderializadeh; Amir Salman Avestimehr; Jungwoo Lee 001 (IEEE Trans. Commun., 2017)

Linear Degrees of Freedom of the MIMO X-Channel With Delayed CSIT. - David T. H. Kao; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2017)

Blind Index Coding. - David T. H. Kao; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2017)

Fundamental Limits of Non-Coherent Interference Alignment via Matroid Theory. - Navid Naderializadeh; Aly El Gamal; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2017)

Fundamental Limits of Cache-Aided Interference Management. - Navid Naderializadeh; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2017)

Binary Fading Interference Channel With No CSIT. - Alireza Vahid; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr; Yan Zhu (IEEE Trans. Inf. Theory, 2017)

A Scalable Framework for Wireless Distributed Computing. - Songze Li; Qian Yu 001; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (IEEE/ACM Trans. Netw., 2017)

Optimal Coded Multicast in Cache Networks with Arbitrary Content Placement. - Seyed Mohammad Asghari; Yi Ouyang 002; Ashutosh Nayyar; Amir Salman Avestimehr (ICC, 2018)

Near-Optimal Straggler Mitigation for Distributed Gradient Methods. - Songze Li; Seyed Mohammadreza Mousavi Kalan; Amir Salman Avestimehr; Mahdi Soltanolkotabi (IPDPS Workshops, 2018)

Compressed Coded Distributed Computing. - Songze Li; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (ISIT, 2018)

Coding for Private and Secure Multiparty Computing. - Qian Yu 001; Netanel Raviv; Amir Salman Avestimehr (ITW, 2018)

Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. - Youjie Li; Mingchao Yu; Songze Li; Salman Avestimehr; Nam Sung Kim; Alexander G. Schwing (NeurIPS, 2018)

GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. - Mingchao Yu; Zhifeng Lin; Krishna Narra; Songze Li; Youjie Li; Nam Sung Kim; Alexander G. Schwing; Murali Annavaram; Salman Avestimehr (NeurIPS, 2018)

Fundamental Resource Trade-offs for Encoded Distributed Optimization. - Amir Salman Avestimehr; Seyed Mohammadreza Mousavi Kalan; Mahdi Soltanolkotabi (CoRR, 2018)

Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding. - Songze Li; Seyed Mohammadreza Mousavi Kalan; Qian Yu 001; Mahdi Soltanolkotabi; Amir Salman Avestimehr (CoRR, 2018)

Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy. - Qian Yu 001; Netanel Raviv; Jinhyun So; Amir Salman Avestimehr (CoRR, 2018)

PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. - Songze Li; Mingchao Yu; Amir Salman Avestimehr; Sreeram Kannan; Pramod Viswanath (IACR Cryptol. ePrint Arch., 2018)

Secrecy DoF of Blind MIMOME Wiretap Channel With Delayed CSIT. - Sina Lashgari; Amir Salman Avestimehr (IEEE Trans. Inf. Forensics Secur., 2018)

A Fundamental Tradeoff Between Computation and Communication in Distributed Computing. - Songze Li; Mohammad Ali Maddah-Ali; Qian Yu 001; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2018)

The Exact Rate-Memory Tradeoff for Caching With Uncoded Prefetching. - Qian Yu 001; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2018)

Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy. - Qian Yu 001; Songze Li; Netanel Raviv; Seyed Mohammadreza Mousavi Kalan; Mahdi Soltanolkotabi; Amir Salman Avestimehr (AISTATS, 2019)

A Topology-aware Coding Framework for Distributed Graph Processing. - Bagak Güler; Amir Salman Avestimehr; Antonio Ortega (ICASSP, 2019)

Robust Graph Signal Sampling. - Basak Güler; Ajinkya Jayawant; Amir Salman Avestimehr; Antonio Ortega (ICASSP, 2019)

Fitting ReLUs via SGD and Quantized SGD. - Seyed Mohammadreza Mousavi Kalan; Mahdi Soltanolkotabi; Amir Salman Avestimehr (ISIT, 2019)

Download and Access Trade-offs in Lagrange Coded Computing. - Netanel Raviv; Qian Yu 001; Jehoshua Bruck; Salman Avestimehr (ISIT, 2019)

Tree Gradient Coding. - Amirhossein Reisizadeh; Saurav Prakash; Ramtin Pedarsani; Amir Salman Avestimehr (ISIT, 2019)

INTERPOL: Information Theoretically Verifiable Polynomial Evaluation. - Saeid Sahraei; Amir Salman Avestimehr (ISIT, 2019)

Timely Coded Computing. - Chien-Sheng Yang; Ramtin Pedarsani; Amir Salman Avestimehr (ISIT, 2019)

Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation. - Qian Yu 001; Amir Salman Avestimehr (ISIT, 2019)

Privacy-Aware Distributed Graph-Based Semi-Supervised Learning. - Basak Güler; Amir Salman Avestimehr; Antonio Ortega (MLSP, 2019)

Timely-Throughput Optimal Coded Computing over Cloud Networks. - Chien-Sheng Yang; Ramtin Pedarsani; Amir Salman Avestimehr (MobiHoc, 2019)

Coded State Machine - Scaling State Machine Execution under Byzantine Faults. - Songze Li; Saeid Sahraei; Mingchao Yu; Salman Avestimehr; Sreeram Kannan; Pramod Viswanath (PODC, 2019)

Slack squeeze coded computing for adaptive straggler mitigation. - Krishna Giri Narra; Zhifeng Lin; Mehrdad Kiamari; Salman Avestimehr; Murali Annavaram (SC, 2019)

Distributed Matrix Multiplication Using Speed Adaptive Coding. - Krishna Narra; Zhifeng Lin; Mehrdad Kiamari; Salman Avestimehr; Murali Annavaram (CoRR, 2019)

Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding. - Krishna Giri Narra; Zhifeng Lin; Ganesh Ananthanarayanan; Salman Avestimehr; Murali Annavaram (CoRR, 2019)

Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models. - Krishna Narra; Zhifeng Lin; Ganesh Ananthanarayanan; Salman Avestimehr; Murali Annavaram (CoRR, 2019)

Train Where the Data is: A Case for Bandwidth Efficient Coded Training. - Zhifeng Lin; Krishna Giri Narra; Mingchao Yu; Salman Avestimehr; Murali Annavaram (CoRR, 2019)

CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. - Jinhyun So; Basak Guler; Amir Salman Avestimehr; Payman Mohassel (IACR Cryptol. ePrint Arch., 2019)

Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. - Mingchao Yu; Saeid Sahraei; Songze Li; Salman Avestimehr; Sreeram Kannan; Pramod Viswanath (IACR Cryptol. ePrint Arch., 2019)

An Approximation Algorithm for Optimal Clique Cover Delivery in Coded Caching. - Seyed Mohammad Asghari; Yi Ouyang 002; Ashutosh Nayyar; Amir Salman Avestimehr (IEEE Trans. Commun., 2019)

Cache-Aided Interference Management in Wireless Cellular Networks. - Navid Naderializadeh; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (IEEE Trans. Commun., 2019)

A Sampling Theory Perspective of Graph-Based Semi-Supervised Learning. - Aamir Anis; Aly El Gamal; Amir Salman Avestimehr; Antonio Ortega (IEEE Trans. Inf. Theory, 2019)

Capacity Region of the Symmetric Injective K-User Deterministic Interference Channel. - Mehrdad Kiamari; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2019)

Coded Computation Over Heterogeneous Clusters. - Amirhossein Reisizadeh; Saurav Prakash; Ramtin Pedarsani; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2019)

Characterizing the Rate-Memory Tradeoff in Cache Networks Within a Factor of 2. - Qian Yu 001; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2019)

Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. - Chien-Sheng Yang; Ramtin Pedarsani; Amir Salman Avestimehr (IEEE/ACM Trans. Netw., 2019)

Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus. - Navid Azizan Ruhi; Farshad Lahouti; Amir Salman Avestimehr; Babak Hassibi (IEEE Trans. Signal Process., 2019)

Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems. - Hema Venkata Krishna Giri Narra; Zhifeng Lin; Ganesh Ananthanarayanan; Salman Avestimehr; Murali Annavaram (ICDCS, 2020)

Hierarchical Coded Gradient Aggregation for Learning at the Edge. - Saurav Prakash; Amirhossein Reisizadeh; Ramtin Pedarsani; Amir Salman Avestimehr (ISIT, 2020)

Coded Computing in Unknown Environment via Online Learning. - Chien-Sheng Yang; Ramtin Pedarsani; Amir Salman Avestimehr (ISIT, 2020)

Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier. - Qian Yu 001; Amir Salman Avestimehr (ISIT, 2020)

Coded Computing for Boolean Functions. - Chien-Sheng Yang; Amir Salman Avestimehr (ISITA, 2020)

Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge. - Chaoyang He 001; Murali Annavaram; Salman Avestimehr (NeurIPS, 2020)

Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. - Seyed Mohammadreza Mousavi Kalan; Zalan Fabian; Salman Avestimehr; Mahdi Soltanolkotabi (NeurIPS, 2020)

A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. - Jinhyun So; Basak Güler; Salman Avestimehr (NeurIPS, 2020)

FedNAS: Federated Deep Learning via Neural Architecture Search. - Chaoyang He 001; Murali Annavaram; Salman Avestimehr (CoRR, 2020)

Coded Computing for Federated Learning at the Edge. - Saurav Prakash; Sagar Dhakal; Mustafa Riza Akdeniz; Amir Salman Avestimehr; Nageen Himayat (CoRR, 2020)

Privacy-Preserving Distributed Learning in the Analog Domain. - Mahdi Soleymani; Hessam Mahdavifar; Amir Salman Avestimehr (CoRR, 2020)

FedML: A Research Library and Benchmark for Federated Machine Learning. - Chaoyang He 001; Songze Li; Jinhyun So; Mi Zhang 002; Hongyi Wang 001; Xiaoyang Wang; Praneeth Vepakomma; Abhishek Singh 005; Hang Qiu 001; Li Shen 005; Peilin Zhao; Yan Kang 001; et al. (CoRR, 2020)

Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge. - Chaoyang He 001; Murali Annavaram; Salman Avestimehr (CoRR, 2020)

Secure Aggregation with Heterogeneous Quantization in Federated Learning. - Ahmed Roushdy Elkordy; Amir Salman Avestimehr (CoRR, 2020)

Mitigating Byzantine Attacks in Federated Learning. - Saurav Prakash; Amir Salman Avestimehr (CoRR, 2020)

On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks. - Ramy E. Ali; Jinhyun So; Amir Salman Avestimehr (CoRR, 2020)

Coded Computing. - Songze Li; Salman Avestimehr (Found. Trends Commun. Inf. Theory, 2020)

InfoCommit: Information-Theoretic Polynomial Commitment and Verification. - Saeid Sahraei; Salman Avestimehr (IACR Cryptol. ePrint Arch., 2020)

Coded Computing for Distributed Graph Analytics. - Saurav Prakash; Amirhossein Reisizadeh; Ramtin Pedarsani; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2020)

Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding. - Qian Yu 001; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (IEEE Trans. Inf. Theory, 2020)

TACC: Topology-Aware Coded Computing for Distributed Graph Processing. - Basak Güler; Amir Salman Avestimehr; Antonio Ortega (IEEE Trans. Signal Inf. Process. over Networks, 2020)

An Ensemble Approach to Automatic Brain Tumor Segmentation. - Yaying Shi; Christian Micklisch; Erum Mushtaq; Salman Avestimehr; Yonghong Yan 001; Xiaodong Zhang (BrainLes@MICCAI (2), 2021)

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. - Chaoyang He 001; Shen Li; Mahdi Soltanolkotabi; Salman Avestimehr (ICML, 2021)

Analog Privacy-Preserving Coded Computing. - Mahdi Soleymani; Hessam Mahdavifar; Amir Salman Avestimehr (ISIT, 2021)

Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs. - Alexander Poylisher; Andrzej Cichocki; Katherine Guo; James Hunziker; Latha A. Kant; Bhaskar Krishnamachari; Salman Avestimehr; Murali Annavaram (MILCOM, 2021)

Federated Learning for Internet of Things. - Tuo Zhang; Chaoyang He 001; Tianhao Ma; Lei Gao; Mark Ma; Salman Avestimehr (SenSys, 2021)

Jupiter: a networked computing architecture. - Pradipta Ghosh; Quynh Nguyen 002; Pranav K. Sakulkar; Jason A. Tran; Aleksandra Knezevic; Jiatong Wang; Zhifeng Lin; Bhaskar Krishnamachari; Murali Annavaram; Salman Avestimehr (UCC Companion, 2021)

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers. - Chaoyang He 001; Shen Li; Mahdi Soltanolkotabi; Salman Avestimehr (CoRR, 2021)

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. - Chaoyang He 001; Keshav Balasubramanian; Emir Ceyani; Yu Rong 001; Peilin Zhao; Junzhou Huang; Murali Annavaram; Salman Avestimehr (CoRR, 2021)

FedNLP: A Research Platform for Federated Learning in Natural Language Processing. - Bill Yuchen Lin; Chaoyang He 001; Zihang Zeng; Hulin Wang; Yufen Huang; Mahdi Soltanolkotabi; Xiang Ren 001; Salman Avestimehr (CoRR, 2021)

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks. - Chaoyang He 001; Emir Ceyani; Keshav Balasubramanian; Murali Annavaram; Salman Avestimehr (CoRR, 2021)

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection. - Tuo Zhang; Chaoyang He 001; Tianhao Ma; Mark Ma; Salman Avestimehr (CoRR, 2021)

A Field Guide to Federated Optimization. - Jianyu Wang; Zachary Charles; Zheng Xu 002; Gauri Joshi; H. Brendan McMahan; Blaise Agüera y Arcas; Maruan Al-Shedivat; Galen Andrew; Salman Avestimehr; Katharine Daly; Deepesh Data; Suhas N. Diggavi; et al. (CoRR, 2021)

Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. - Tingting Tang; Ramy E. Ali; Hanieh Hashemi; Tynan Gangwani; Salman Avestimehr; Murali Annavaram (CoRR, 2021)

LightSecAgg: Rethinking Secure Aggregation in Federated Learning. - Chien-Sheng Yang; Jinhyun So; Chaoyang He 001; Songze Li; Qian Yu 001; Salman Avestimehr (CoRR, 2021)

AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference. - Yue Niu; Ramy E. Ali; Salman Avestimehr (CoRR, 2021)

Secure Aggregation for Buffered Asynchronous Federated Learning. - Jinhyun So; Ramy E. Ali; Basak Güler; Amir Salman Avestimehr (CoRR, 2021)

SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision. - Chaoyang He 001; Zhengyu Yang 003; Erum Mushtaq; Sunwoo Lee 001; Mahdi Soltanolkotabi; Salman Avestimehr (CoRR, 2021)

Layer-wise Adaptive Model Aggregation for Scalable Federated Learning. - Sunwoo Lee 001; Tuo Zhang; Chaoyang He 001; Salman Avestimehr (CoRR, 2021)

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks. - Chaoyang He 001; Alay Dilipbhai Shah; Zhenheng Tang; Di Fan; Adarshan Naiynar Sivashunmugam; Keerti Bhogaraju; Mita Shimpi; Li Shen 005; Xiaowen Chu 001; Mahdi Soltanolkotabi; Salman Avestimehr (CoRR, 2021)

SPIDER: Searching Personalized Neural Architecture for Federated Learning. - Erum Mushtaq; Chaoyang He 001; Jie Ding 002; Salman Avestimehr (CoRR, 2021)

Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. - Jinhyun So; Ramy E. Ali; Basak Guler; Jiantao Jiao; Salman Avestimehr (IACR Cryptol. ePrint Arch., 2021)

Coded Computing for Low-Latency Federated Learning Over Wireless Edge Networks. - Saurav Prakash; Sagar Dhakal; Mustafa Riza Akdeniz; Yair Yona; Shilpa Talwar; Salman Avestimehr; Nageen Himayat (IEEE J. Sel. Areas Commun., 2021)

Byzantine-Resilient Secure Federated Learning. - Jinhyun So; Basak Güler; Amir Salman Avestimehr (IEEE J. Sel. Areas Commun., 2021)

Guest Editorial for Special Issue on Coded Computing. - Pulkit Grover; Viveck R. Cadambe; Sennur Ulukus; Stark C. Draper; Salman Avestimehr; Osvaldo Simeone (IEEE J. Sel. Areas Inf. Theory, 2021)

Interactive Verifiable Polynomial Evaluation. - Saeid Sahraei; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (IEEE J. Sel. Areas Inf. Theory, 2021)

CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. - Jinhyun So; Basak Güler; Amir Salman Avestimehr (IEEE J. Sel. Areas Inf. Theory, 2021)

Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. - Jinhyun So; Basak Güler; Amir Salman Avestimehr (IEEE J. Sel. Areas Inf. Theory, 2021)

List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. - Mahdi Soleymani; Ramy E. Ali; Hessam Mahdavifar; Amir Salman Avestimehr (IEEE J. Sel. Areas Inf. Theory, 2021)

Analog Lagrange Coded Computing. - Mahdi Soleymani; Hessam Mahdavifar; Amir Salman Avestimehr (IEEE J. Sel. Areas Inf. Theory, 2021)

Coded Computing for Secure Boolean Computations. - Chien-Sheng Yang; Amir Salman Avestimehr (IEEE J. Sel. Areas Inf. Theory, 2021)

Compressed Coded Distributed Computing. - Ahmed Roushdy Elkordy; Songze Li; Mohammad Ali Maddah-Ali; Amir Salman Avestimehr (IEEE Trans. Commun., 2021)

Coded Computing for Resilient, Secure, and Privacy-Preserving Distributed Matrix Multiplication. - Qian Yu 001; Amir Salman Avestimehr (IEEE Trans. Commun., 2021)

PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. - Songze Li; Mingchao Yu; Chien-Sheng Yang; Amir Salman Avestimehr; Sreeram Kannan; Pramod Viswanath (IEEE Trans. Inf. Forensics Secur., 2021)

Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. - Chien-Sheng Yang; Ramtin Pedarsani; Amir Salman Avestimehr (IEEE/ACM Trans. Netw., 2021)

SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. - Chaoyang He 001; Emir Ceyani; Keshav Balasubramanian; Murali Annavaram; Salman Avestimehr (AAAI, 2022)

ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems. - Mahdi Soleymani; Ramy E. Ali; Hessam Mahdavifar; Amir Salman Avestimehr (AAAI, 2022)

On Multi-Round Privacy in Federated Learning. - August Deer; Ramy E. Ali; Amir Salman Avestimehr (IEEECONF, 2022)

Experimenting FedML and NVFLARE for Federated Tumor Segmentation Challenge. - Yaying Shi; Hongjian Gao; Salman Avestimehr; Yonghong Yan 001 (BrainLes@MICCAI (2), 2022)

Federated K-Private Set Intersection. - Ahmed Roushdy Elkordy; Yahya H. Ezzeldin; Salman Avestimehr (CIKM, 2022)

The 1st International Workshop on Federated Learning with Graph Data (FedGraph). - Carl Yang 001; Xiaoxiao Li; Nathalie Baracaldo; Neil Shah; Chaoyang He 001; Lingjuan Lyu; Lichao Sun 001; Salman Avestimehr (CIKM, 2022)

Federated Learning Challenges and Opportunities: An Outlook. - Jie Ding 002; Eric W. Tramel; Anit Kumar Sahu; Shuang Wu; Salman Avestimehr; Tao Zhang (ICASSP, 2022)

Learnings from Federated Learning in The Real World. - Christophe Dupuy; Tanya G. Roosta; Leo Long; Clement Chung; Rahul Gupta 001; Salman Avestimehr (ICASSP, 2022)

On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data. - Xiaoyi Mai; Salman Avestimehr; Antonio Ortega; Mahdi Soltanolkotabi (ICASSP, 2022)

What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened. - Erum Mushtaq; Jie Ding 002; Salman Avestimehr (ICMLA, 2022)

Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. - Tingting Tang; Ramy E. Ali; Hanieh Hashemi; Tynan Gangwani; Salman Avestimehr; Murali Annavaram (IPDPS, 2022)

Statistical Minimax Lower Bounds for Transfer Learning in Linear Binary Classification. - Seyed Mohammadreza Mousavi Kalan; Mahdi Soltanolkotabi; Amir Salman Avestimehr (ISIT, 2022)

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning. - Jinhyun So; Corey J. Nolet; Chien-Sheng Yang; Songze Li; Qian Yu 001; Ramy E. Ali; Basak Guler; Salman Avestimehr (MLSys, 2022)

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. - Bill Yuchen Lin; Chaoyang He 001; Zihang Ze; Hulin Wang; Yufen Hua; Christophe Dupuy; Rahul Gupta 001; Mahdi Soltanolkotabi; Xiang Ren 001; Salman Avestimehr (NAACL-HLT (Findings), 2022)

Federated Learning with Noisy User Feedback. - Rahul Sharma; Anil Ramakrishna; Ansel MacLaughlin; Anna Rumshisky; Jimit Majmudar; Clement Chung; Salman Avestimehr; Rahul Gupta 001 (NAACL-HLT, 2022)

Self-Aware Personalized Federated Learning. - Huili Chen; Jie Ding 002; Eric W. Tramel; Shuang Wu; Anit Kumar Sahu; Salman Avestimehr; Tao Zhang (NeurIPS, 2022)

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. - Jean Ogier du Terrail; Samy-Safwan Ayed; Edwige Cyffers; Felix Grimberg; Chaoyang He 001; Regis Loeb; Paul Mangold; Tanguy Marchand; Othmane Marfoq; Erum Mushtaq; Boris Muzellec; Constantin Philippenko; et al. (NeurIPS, 2022)

FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. - Jinhyun So; Kevin Hsieh; Behnaz Arzani; Shadi A. Noghabi; Salman Avestimehr; Ranveer Chandra (CoRR, 2022)

Toward a Geometrical Understanding of Self-supervised Contrastive Learning. - Romain Cosentino; Anirvan M. Sengupta; Salman Avestimehr; Mahdi Soltanolkotabi; Antonio Ortega; Theodore L. Willke; Mariano Tepper (CoRR, 2022)

One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis. - Onat Dalmaz; Muhammad Usama Mirza; Gökberk Elmas; Muzaffer Özbey; Salman Ul Hassan Dar; Emir Ceyani; Salman Avestimehr; Tolga Çukur (CoRR, 2022)

Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge. - Sara Babakniya; Souvik Kundu 002; Saurav Prakash; Yue Niu; Salman Avestimehr (CoRR, 2022)

Federated Learning of Large Models at the Edge via Principal Sub-Model Training. - Yue Niu; Saurav Prakash; Souvik Kundu 002; Sunwoo Lee 001; Salman Avestimehr (CoRR, 2022)

The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning. - Romain Cosentino; Sarath Shekkizhar; Mahdi Soltanolkotabi; Salman Avestimehr; Antonio Ortega (CoRR, 2022)

SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing. - Chaoyang He 001; Shuai Zheng 004; Aston Zhang; George Karypis; Trishul Chilimbi; Mahdi Soltanolkotabi; Salman Avestimehr (CoRR, 2022)

Secure Federated Clustering. - Songze Li; Sizai Hou; Baturalp Buyukates; Salman Avestimehr (IACR Cryptol. ePrint Arch., 2022)

Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities. - Tuo Zhang; Lei Gao; Chaoyang He 001; Mi Zhang 002; Bhaskar Krishnamachari; Amir Salman Avestimehr (IEEE Internet Things Mag., 2022)

Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training. - Ahmed Roushdy Elkordy; Saurav Prakash; Salman Avestimehr (IEEE J. Sel. Areas Commun., 2022)

Privacy in Retrieval, Computing, and Learning. - Sennur Ulukus; Salman Avestimehr; Michael Gastpar; Syed Ali Jafar; Ravi Tandon; Chao Tian 002 (IEEE J. Sel. Areas Commun., 2022)

Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges. - Sennur Ulukus; Salman Avestimehr; Michael Gastpar; Syed Ali Jafar; Ravi Tandon; Chao Tian 002 (IEEE J. Sel. Areas Commun., 2022)

Guest Editorial. - Mohammad Ali Maddah-Ali; Salman Avestimehr; Ravi Tandon; Changho Suh; Ayfer Özgür; Chao Tian 002; Tara Javidi; Giuseppe Caire (IEEE J. Sel. Areas Inf. Theory, 2022)

3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs. - Yue Niu; Ramy E. Ali; Salman Avestimehr (Proc. Priv. Enhancing Technol., 2022)

HeteroSAg: Secure Aggregation With Heterogeneous Quantization in Federated Learning. - Ahmed Roushdy Elkordy; Amir Salman Avestimehr (IEEE Trans. Commun., 2022)

Info-Commit: Information-Theoretic Polynomial Commitment. - Saeid Sahraei; Amir Salman Avestimehr; Ramy E. Ali (IEEE Trans. Inf. Forensics Secur., 2022)

Analog Secret Sharing With Applications to Private Distributed Learning. - Mahdi Soleymani; Hessam Mahdavifar; Amir Salman Avestimehr (IEEE Trans. Inf. Forensics Secur., 2022)

CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. - Amirhossein Reisizadeh; Saurav Prakash; Ramtin Pedarsani; Amir Salman Avestimehr (IEEE/ACM Trans. Netw., 2022)

FairFed: Enabling Group Fairness in Federated Learning. - Yahya H. Ezzeldin; Shen Yan; Chaoyang He 001; Emilio Ferrara; Amir Salman Avestimehr (AAAI, 2023)

Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning. - Sunwoo Lee 001; Tuo Zhang; Amir Salman Avestimehr (AAAI, 2023)

TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. - Tuo Zhang; Lei Gao; Sunwoo Lee 001; Mi Zhang 002; Salman Avestimehr (CVPR Workshops, 2023)

The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning. - Joshua C. Zhao; Ahmed Roushdy Elkordy; Atul Sharma; Yahya H. Ezzeldin; Salman Avestimehr; Saurabh Bagchi (CVPR, 2023)

Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain. - Baturalp Buyukates; Chaoyang He 001; Shanshan Han; Zhiyong Fang; Yupeng Zhang 001; Jieyi Long; Ali Farahanchi; Salman Avestimehr (DAPPS, 2023)

Quantifying Catastrophic Forgetting in Continual Federated Learning. - Christophe Dupuy; Jimit Majmudar; Jixuan Wang; Tanya G. Roosta; Rahul Gupta 001; Clement Chung; Jie Ding 002; Salman Avestimehr (ICASSP, 2023)

FedAudio: A Federated Learning Benchmark for Audio Tasks. - Tuo Zhang; Tiantian Feng; Samiul Alam; Sunwoo Lee 001; Mi Zhang 002; Shrikanth S. Narayanan; Salman Avestimehr (ICASSP, 2023)

Performance and Failure Cause Estimation for Machine Learning Systems in the Wild. - Xiruo Liu; Furqan Khan; Yue Niu; Pradeep Natarajan; Rinat Khaziev; Salman Avestimehr; Prateek Singhal (ICVS, 2023)

Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging. - Erum Mushtaq; Yavuz Faruk Bakman; Jie Ding 002; Salman Avestimehr (ISBI, 2023)

FedMultimodal: A Benchmark for Multimodal Federated Learning. - Tiantian Feng; Digbalay Bose; Tuo Zhang; Rajat Hebbar; Anil Ramakrishna; Rahul Gupta 001; Mi Zhang 002; Salman Avestimehr; Shrikanth Narayanan (KDD, 2023)

PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls. - Shen Li; Pritam Damania; Luca Wehrstedt; Rohan Varma; Omkar Salpekar; Pavel Belevich; Howard Huang; Yanli Zhao; Lucas Hosseini; Wanchao Liang; Hongyi Jia; Shihao Xu; et al. (MLSys, 2023)

A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks. - Sara Babakniya; Zalan Fabian; Chaoyang He 001; Mahdi Soltanolkotabi; Salman Avestimehr (NeurIPS, 2023)

Federated Analytics: A survey. - Ahmed Roushdy Elkordy; Yahya H. Ezzeldin; Shanshan Han; Shantanu Sharma 001; Chaoyang He 001; Sharad Mehrotra; Salman Avestimehr (CoRR, 2023)

FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training. - Zhenheng Tang; Xiaowen Chu 001; Ryan Yide Ran; Sunwoo Lee 001; Shaohuai Shi; Yonggang Zhang 003; Yuxin Wang 003; Alex Qiaozhong Liang; Salman Avestimehr; Chaoyang He 001 (CoRR, 2023)

FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. - Weizhao Jin; Yuhang Yao; Shanshan Han; Carlee Joe-Wong; Srivatsan Ravi; Salman Avestimehr; Chaoyang He 001 (CoRR, 2023)

Secure Aggregation in Federated Learning is not Private: Leaking User Data at Large Scale through Model Modification. - Joshua C. Zhao; Atul Sharma; Ahmed Roushdy Elkordy; Yahya H. Ezzeldin; Salman Avestimehr; Saurabh Bagchi (CoRR, 2023)

Secure Federated Learning against Model Poisoning Attacks via Client Filtering. - Duygu Nur Yaldiz; Tuo Zhang; Salman Avestimehr (CoRR, 2023)

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning. - Tuo Zhang; Tiantian Feng; Samiul Alam; Mi Zhang 002; Shrikanth S. Narayanan; Salman Avestimehr (CoRR, 2023)

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Chulin Xie; Kai Zhang 039; Qifan Zhang 002; Yuhui Zhang; Chaoyang He 001; et al. (CoRR, 2023)

Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory. - Sara Babakniya; Zalan Fabian; Chaoyang He 001; Mahdi Soltanolkotabi; Salman Avestimehr (CoRR, 2023)

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models. - Sara Babakniya; Ahmed Roushdy Elkordy; Yahya H. Ezzeldin; Qingfeng Liu; Kee-Bong Song; Mostafa El-Khamy; Salman Avestimehr (CoRR, 2023)

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things. - Samiul Alam; Tuo Zhang; Tiantian Feng; Hui Shen; Zhichao Cao 001; Dong Zhao; JeongGil Ko; Kiran K. Somasundaram; Shrikanth S. Narayanan; Salman Avestimehr; Mi Zhang 002 (CoRR, 2023)

Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning. - Shanshan Han; Wenxuan Wu; Baturalp Buyukates; Weizhao Jin; Yuhang Yao; Qifan Zhang 002; Salman Avestimehr; Chaoyang He 001 (CoRR, 2023)

Federated Learning of Generative Image Priors for MRI Reconstruction. - Gökberk Elmas; Salman Ul Hassan Dar; Yilmaz Korkmaz; Emir Ceyani; Burak Susam; Muzaffer Özbey; Salman Avestimehr; Tolga Çukur (IEEE Trans. Medical Imaging, 2023)

Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter? - Sara Babakniya; Souvik Kundu 002; Saurav Prakash; Yue Niu; Salman Avestimehr (Trans. Mach. Learn. Res., 2023)

Distributed Architecture Search Over Heterogeneous Distributions. - Erum Mushtaq; Chaoyang He 001; Jie Ding 002; Salman Avestimehr (Trans. Mach. Learn. Res., 2023)

mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization. - Yue Niu; Zalan Fabian; Sunwoo Lee 001; Mahdi Soltanolkotabi; Salman Avestimehr (Trans. Mach. Learn. Res., 2023)

Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with only Weak Clients. - Yue Niu; Saurav Prakash; Souvik Kundu 002; Sunwoo Lee 001; Salman Avestimehr (Trans. Mach. Learn. Res., 2023)

Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment. - Sunwoo Lee 001; Chaoyang He 001; Salman Avestimehr (Neural Networks, 2023)

How Much Privacy Does Federated Learning with Secure Aggregation Guarantee? - Ahmed Roushdy Elkordy; Jiang Zhang; Yahya H. Ezzeldin; Konstantinos Psounis; Salman Avestimehr (Proc. Priv. Enhancing Technol., 2023)

Partial model averaging in Federated Learning: Performance guarantees and benefits. - Sunwoo Lee 001; Anit Kumar Sahu; Chaoyang He 001; Salman Avestimehr (Neurocomputing, 2023)

MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs. - Yavuz Faruk Bakman; Duygu Nur Yaldiz; Baturalp Buyukates; Chenyang Tao; Dimitrios Dimitriadis; Salman Avestimehr (ACL (1), 2024)

Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers. - Tuo Zhang; Jinyue Yuan; Salman Avestimehr (ACL (Findings), 2024)

All Rivers Run to the Sea: Private Learning with Asymmetric Flows. - Yue Niu; Ramy E. Ali; Saurav Prakash; Salman Avestimehr (CVPR, 2024)

CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning. - Erum Mushtaq; Duygu Nur Yaldiz; Yavuz Faruk Bakman; Jie Ding 002; Chenyang Tao; Dimitrios Dimitriadis; Salman Avestimehr (ECCV (80), 2024)

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference. - Dimitris Stripelis; Zhaozhuo Xu; Zijian Hu 001; Alay Dilipbhai Shah; Han Jin; Yuhang Yao; Jipeng Zhang; Tong Zhang 001; Salman Avestimehr; Chaoyang He 001 (EMNLP (Industry Track), 2024)

ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. - Yuhang Yao; Han Jin; Alay Dilipbhai Shah; Shanshan Han; Zijian Hu 001; Dimitris Stripelis; Yide Ran; Zhaozhuo Xu; Salman Avestimehr; Chaoyang He 001 (EMNLP (Industry Track), 2024)

Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning. - Yavuz Faruk Bakman; Duygu Nur Yaldiz; Yahya H. Ezzeldin; Salman Avestimehr (ICLR, 2024)

Predicting Uncertainty of Generative LLMs with MARS: Meaning-Aware Response Scoring. - Yavuz Faruk Bakman; Duygu Nur Yaldiz; Baturalp Buyukates; Salman Avestimehr; Chenyang Tao; Dimitrios Dimitriadis (ISIT, 2024)

Frequency Domain Diffusion Model with Scale-Dependent Noise Schedule. - Amir Ziashahabi; Baturalp Buyukates; Artan Sheshmani; Yi-Zhuang You; Salman Avestimehr (ISIT, 2024)

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Wenxuan Wu; Chulin Xie; Yuhang Yao; Kai Zhang 039; Qifan Zhang 002; et al. (KDD, 2024)

FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. - Junyuan Hong; Carl Yang 001; Zhuangdi Zhu; Zheng Xu 002; Nathalie Baracaldo; Neil Shah; Salman Avestimehr; Jiayu Zhou (KDD, 2024)

Ethos: Rectifying Language Models in Orthogonal Parameter Space. - Lei Gao; Yue Niu; Tingting Tang; Salman Avestimehr; Murali Annavaram (NAACL-HLT (Findings), 2024)

Loki: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation. - Joshua C. Zhao; Atul Sharma; Ahmed Roushdy Elkordy; Yahya H. Ezzeldin; Salman Avestimehr; Saurabh Bagchi (SP, 2024)

ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys. - Yue Niu; Saurav Prakash; Salman Avestimehr (CoRR, 2024)

Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey. - Joshua C. Zhao; Saurabh Bagchi; Salman Avestimehr; Kevin S. Chan; Somali Chaterji; Dimitris Dimitriadis; Jiacheng Li; Ninghui Li; Arash Nourian; Holger R. Roth (CoRR, 2024)

Maverick-Aware Shapley Valuation for Client Selection in Federated Learning. - Mengwei Yang; Ismat Jarin; Baturalp Buyukates; Salman Avestimehr; Athina Markopoulou (CoRR, 2024)

Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding. - Tuo Zhang; Tiantian Feng; Yibin Ni; Mengqin Cao; Ruying Liu; Katharine Butler; Yanjun Weng; Mi Zhang 002; Shrikanth S. Narayanan; Salman Avestimehr (CoRR, 2024)

Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs. - Duygu Nur Yaldiz; Yavuz Faruk Bakman; Baturalp Buyukates; Chenyang Tao; Anil Ramakrishna; Dimitrios Dimitriadis; Salman Avestimehr (CoRR, 2024)

AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design. - Asal Mehradfar; Xuzhe Zhao; Yue Niu; Sara Babakniya; Mahdi Alesheikh; Hamidreza Aghasi; Salman Avestimehr (CoRR, 2024)

PolyRouter: A Multi-LLM Querying System. - Dimitris Stripelis; Zijian Hu 001; Jipeng Zhang; Zhaozhuo Xu; Alay Dilipbhai Shah; Han Jin; Yuhang Yao; Salman Avestimehr; Chaoyang He 001 (CoRR, 2024)

ModalityMirror: Improving Audio Classification in Modality Heterogeneity Federated Learning with Multimodal Distillation. - Tiantian Feng; Tuo Zhang; Salman Avestimehr; Shrikanth S. Narayanan (CoRR, 2024)

Enabling Resource-Efficient On-Device Fine-Tuning of LLMs Using Only Inference Engines. - Lei Gao; Amir Ziashahabi; Yue Niu; Salman Avestimehr; Murali Annavaram (CoRR, 2024)

Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs. - Yide Ran; Zhaozhuo Xu; Yuhang Yao; Zijian Hu 001; Shanshan Han; Han Jin; Alay Dilipbhai Shah; Jipeng Zhang; Dimitris Stripelis; Tong Zhang 001; Salman Avestimehr; Chaoyang He 001 (CoRR, 2024)

Fox-1 Technical Report. - Zijian Hu 001; Jipeng Zhang; Rui Pan 002; Zhaozhuo Xu; Shanshan Han; Han Jin; Alay Dilipbhai Shah; Dimitris Stripelis; Yuhang Yao; Salman Avestimehr; Chaoyang He 001; Tong Zhang 001 (CoRR, 2024)

LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning. - Baturalp Buyukates; Jinhyun So; Hessam Mahdavifar; Salman Avestimehr (IEEE J. Sel. Areas Inf. Theory, 2024)

Erratum to "LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning". - Baturalp Buyukates; Jinhyun So; Hessam Mahdavifar; Salman Avestimehr (IEEE J. Sel. Areas Inf. Theory, 2024)

One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis. - Onat Dalmaz; Muhammad Usama Mirza; Gökberk Elmas; Muzaffer Özbey; Salman Ul Hassan Dar; Emir Ceyani; Kader Karli Oguz; Salman Avestimehr; Tolga Çukur (Medical Image Anal., 2024)

Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation. - Hamza Saleem; Amir Ziashahabi; Muhammad Naveed; Salman Avestimehr (Proc. Priv. Enhancing Technol., 2024)

Edge Private Graph Neural Networks with Singular Value Perturbation. - Tingting Tang; Yue Niu; Salman Avestimehr; Murali Annavaram (Proc. Priv. Enhancing Technol., 2024)

Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training. - Sunwoo Lee 001; Tuo Zhang; Saurav Prakash; Yue Niu; Salman Avestimehr (IEEE Trans. Mob. Comput., 2024)

Reconsidering LLM Uncertainty Estimation Methods in the Wild. - Yavuz Faruk Bakman; Duygu Nur Yaldiz; Sungmin Kang; Tuo Zhang; Baturalp Buyukates; Salman Avestimehr; Sai Praneeth Karimireddy (ACL (1), 2025)

Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding. - Tuo Zhang; Tiantian Feng; Yibin Ni; Mengqin Cao; Ruying Liu; Kiana Avestimehr; Katharine Butler; Yanjun Weng; Mi Zhang 002; Shrikanth Narayanan; Salman Avestimehr (ACL (Findings), 2025)

HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models. - Erum Mushtaq; Zalan Fabian; Yavuz Faruk Bakman; Anil Ramakrishna; Mahdi Soltanolkotabi; Salman Avestimehr (CVPR Workshops, 2025)

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning. - Tuo Zhang; Tiantian Feng; Samiul Alam; Dimitrios Dimitriadis; Sunwoo Lee 001; Mi Zhang 002; Shrikanth S. Narayanan; Salman Avestimehr (CVPR Workshops, 2025)

CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction. - Mohammad Shahab Sepehri; Asal Mehradfar; Mahdi Soltanolkotabi; Salman Avestimehr (ICBC, 2025)

Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs. - Duygu Nur Yaldiz; Yavuz Faruk Bakman; Baturalp Buyukates; Chenyang Tao; Anil Ramakrishna; Dimitrios Dimitriadis; Jieyu Zhao; Salman Avestimehr (NAACL (Findings), 2025)

ModalityMirror: Enhancing Audio Classification in Modality Heterogeneity Federated Learning via Multimodal Distillation. - Tiantian Feng; Tuo Zhang; Salman Avestimehr; Shrikanth Narayanan (NOSSDAV, 2025)

FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor Sampling. - Emir Ceyani; Han Xie; Baturalp Buyukates; Carl Yang 001; Salman Avestimehr (SDM, 2025)

Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights. - Asal Mehradfar; Xuzhe Zhao; Yue Niu; Sara Babakniya; Mahdi Alesheikh; Hamidreza Aghasi; Salman Avestimehr (CoRR, 2025)

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences. - Shanshan Han; Salman Avestimehr; Chaoyang He 001 (CoRR, 2025)

Leveraging Uncertainty Estimation for Efficient LLM Routing. - Tuo Zhang; Asal Mehradfar; Dimitrios Dimitriadis; Salman Avestimehr (CoRR, 2025)

Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogenous Federated Learning. - Jihyun Lim; Junhyuk Jo; Tuo Zhang; Salman Avestimehr; Sunwoo Lee 001 (CoRR, 2025)

Toward Super Agent System with Hybrid AI Routers. - Yuhang Yao; Haixin Wang; Yibo Chen; Jiawen Wang; Min Chang Jordan Ren; Bosheng Ding; Salman Avestimehr; Chaoyang He 001 (CoRR, 2025)

FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design. - Asal Mehradfar; Xuzhe Zhao; Yilun Huang 006; Emir Ceyani; Yankai Yang; Shihao Han; Hamidreza Aghasi; Salman Avestimehr (CoRR, 2025)

Clustering and Median Aggregation Improve Differentially Private Inference. - Kareem Amin 002; Salman Avestimehr; Sara Babakniya; Alex Bie; Weiwei Kong; Natalia Ponomareva 001; Umar Syed (CoRR, 2025)

LANTERN: A Machine Learning Framework for Lipid Nanoparticle Transfection Efficiency Prediction. - Asal Mehradfar; Mohammad Shahab Sepehri; José Miguel Hernández-Lobato; Glen S. Kwon; Mahdi Soltanolkotabi; Salman Avestimehr; Morteza Rasoulianboroujeni (CoRR, 2025)

TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs. - Duygu Nur Yaldiz; Yavuz Faruk Bakman; Sungmin Kang; Alperen Özis; Hayrettin Eren Yildiz; Mitash Ashish Shah; Zhiqi Huang; Anoop Kumar; Alfy Samuel; Daben Liu; Sai Praneeth Karimireddy; Salman Avestimehr (CoRR, 2025)

The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape. - Joshua C. Zhao; Saurabh Bagchi; Salman Avestimehr; Kevin S. Chan; Somali Chaterji; Dimitris Dimitriadis; Jiacheng Li; Ninghui Li; Arash Nourian; Holger Roth (ACM Comput. Surv., 2025)