Optimized array-based spatially-coupled LDPC Codes: An absorbing set approach. - Behzad Amiri; Amirhossein Reisizadeh; Jörg Kliewer; Lara Dolecek (ISIT, 2015)

Approximate file synchronization: Upper bounds and interactive algorithms. - Amirhossein Reisizadehmobarakeh; Clayton Schoeny; Chi-Yo Tsai; Lara Dolecek (ITW, 2016)

Optimized Design of Finite-Length Separable Circulant-Based Spatially-Coupled Codes: An Absorbing Set-Based Analysis. - Behzad Amiri; Amirhossein Reisizadehmobarakeh; Homa Esfahanizadeh; Jörg Kliewer; Lara Dolecek (IEEE Trans. Commun., 2016)

Multilevel group testing via sparse-graph codes. - Pedro Abdalla; Amirhossein Reisizadeh; Ramtin Pedarsani (ACSSC, 2017)

Latency analysis of coded computation schemes over wireless networks. - Amirhossein Reisizadeh; Ramtin Pedarsani (Allerton, 2017)

Quantized Decentralized Consensus Optimization. - Amirhossein Reisizadeh; Aryan Mokhtari; Hamed Hassani; Ramtin Pedarsani (CDC, 2018)

Sub-linear Time Stochastic Threshold Group Testing via Sparse-Graph Codes. - Amirhossein Reisizadeh; Pedro Abdalla; Ramtin Pedarsani (ITW, 2018)

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

Robust and Communication-Efficient Collaborative Learning. - Amirhossein Reisizadeh; Hossein Taheri; Aryan Mokhtari; Hamed Hassani; Ramtin Pedarsani (NeurIPS, 2019)

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

An Exact Quantized Decentralized Gradient Descent Algorithm. - Amirhossein Reisizadeh; Aryan Mokhtari; Hamed Hassani; Ramtin Pedarsani (IEEE Trans. Signal Process., 2019)

FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. - Amirhossein Reisizadeh; Aryan Mokhtari; Hamed Hassani; Ali Jadbabaie; Ramtin Pedarsani (AISTATS, 2020)

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

Robust Federated Learning: The Case of Affine Distribution Shifts. - Amirhossein Reisizadeh; Farzan Farnia; Ramtin Pedarsani; Ali Jadbabaie (NeurIPS, 2020)

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

Robust and Efficient Algorithms for Federated Learning and Distributed Computing - Amirhossein Reisizadeh (2021)

Adaptive Node Participation for Straggler-Resilient Federated Learning. - Amirhossein Reisizadeh; Isidoros Tziotis; Hamed Hassani; Aryan Mokhtari; Ramtin Pedarsani (ICASSP, 2022)

Gradient Descent for Low-Rank Functions. - Romain Cosson; Ali Jadbabaie; Anuran Makur; Amirhossein Reisizadeh; Devavrat Shah (CoRR, 2022)

An Optimal Transport Approach to Personalized Federated Learning. - Farzan Farnia; Amirhossein Reisizadeh; Ramtin Pedarsani; Ali Jadbabaie (IEEE J. Sel. Areas Inf. Theory, 2022)

Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. - Amirhossein Reisizadeh; Isidoros Tziotis; Hamed Hassani; Aryan Mokhtari; Ramtin Pedarsani (IEEE J. Sel. Areas Inf. Theory, 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)

Gradient Descent with Low-Rank Objective Functions. - Romain Cosson; Ali Jadbabaie; Anuran Makur; Amirhossein Reisizadeh; Devavrat Shah (CDC, 2023)

Adaptive Low-Rank Gradient Descent. - Ali Jadbabaie; Anuran Makur; Amirhossein Reisizadeh (CDC, 2023)

EM for Mixture of Linear Regression with Clustered Data. - Amirhossein Reisizadeh; Khashayar Gatmiry; Asuman E. Ozdaglar (AISTATS, 2024)

Communication-efficient and Decentralized Federated Minimax Optimization. - Sajjad Ghiasvand; Amirhossein Reisizadeh; Mahnoosh Alizadeh; Ramtin Pedarsani (Allerton, 2024)

Robust Decentralized Learning with Local Updates and Gradient Tracking. - Sajjad Ghiasvand; Amirhossein Reisizadeh; Mahnoosh Alizadeh; Ramtin Pedarsani (CoRR, 2024)

Variance-reduced Clipping for Non-convex Optimization. - Amirhossein Reisizadeh; Haochuan Li; Subhro Das; Ali Jadbabaie (ICASSP, 2025)