On the maximum common rate in multiple access channels. - Sergio Barbarossa; Gesualdo Scutari (EUSIPCO, 2002)

MUI-free CDMA systems incorporating space-time coding and channel shortening. - Sergio Barbarossa; Gesualdo Scutari; Ananthram Swami (ICASSP, 2002)

Cooperative diversity through virtual arrays in multihop networks. - Sergio Barbarossa; Gesualdo Scutari (ICASSP (4), 2003)

Concatenated space-time coding with optimal trade-off between diversity and coding gains. - Gesualdo Scutari; Giancarlo Paccapeli; Sergio Barbarossa (ICASSP (4), 2003)

Concatenated space-time block coding with maximum diversity gain. - Sergio Barbarossa; Gesualdo Scutari; Giancarlo Paccapeli (ICC, 2003)

Generalized water-filling for multiple transmit antenna systems. - Gesualdo Scutari; Sergio Barbarossa (ICC, 2003)

Distributed space-time coding strategies for wideband multihop networks: regenerative vs. non-regenerative relays. - Sergio Barbarossa; Gesualdo Scutari (ICASSP (4), 2004)

On the maximum achievable rates in wireless meshed networks: centralized versus decentralized solutions. - Gesualdo Scutari; Sergio Barbarossa; Daniele Ludovici (ICASSP (4), 2004)

Distributed space-time coding for multihop networks. - Sergio Barbarossa; Gesualdo Scutari (ICC, 2004)

Distributed space-time coding for regenerative relay networks. - Gesualdo Scutari; Sergio Barbarossa (IEEE Trans. Wirel. Commun., 2005)

Distributed detection and estimation in decentralized sensor networks: An overview. - Sergio Barbarossa; Gesualdo Scutari; Ananthram Swami (EUSIPCO, 2006)

Global Stability of a Population of Mutually Coupled Oscillators Reaching Global ML Estimate Through a Decentralized Approach. - Sergio Barbarossa; Gesualdo Scutari; Loreto Pescosolido (ICASSP (4), 2006)

Decentralized Detection and Localization Through Sensor Networks Designed As a Population of Self-Synchronizing Oscillators. - Loreto Pescosolido; Sergio Barbarossa; Gesualdo Scutari (ICASSP (4), 2006)

Potential Games: A Framework for Vector Power Control Problems With Coupled Constraints. - Gesualdo Scutari; Sergio Barbarossa; Daniel P. Palomar (ICASSP (4), 2006)

Simultaneous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels. - Gesualdo Scutari; Daniel P. Palomar; Sergio Barbarossa (ISIT, 2006)

Achieving Consensus in Self-Organizing Wireless Sensor Networks: The Impact of Network Topology on Energy Consumption. - Sergio Barbarossa; Gesualdo Scutari; Ananthram Swami (ICASSP (2), 2007)

Distributed Totally Asynchronous Iterative Waterfilling for Wideband Interference Channel with Time/Frequency Offset. - Gesualdo Scutari; Daniel P. Palomar; Sergio Barbarossa (ICASSP (4), 2007)

Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems based on Game Theory-Part I: Nash Equilibria - Gesualdo Scutari; Daniel Pérez Palomar; Sergio Barbarossa (CoRR, 2007)

Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Nonreciprocal Channels - Gesualdo Scutari; Sergio Barbarossa; Loreto Pescosolido (CoRR, 2007)

Distributed Power Allocation with Rate Constraints in Gaussian Frequency-Selective Interference Channels - Jong-Shi Pang; Gesualdo Scutari; Francisco Facchinei; Chaoxiong Wang (CoRR, 2007)

Bio-Inspired Sensor Network Design. - Sergio Barbarossa; Gesualdo Scutari (IEEE Signal Process. Mag., 2007)

Decentralized Maximum-Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems. - Sergio Barbarossa; Gesualdo Scutari (IEEE Trans. Signal Process., 2007)

The effect of additive noise on consensus achievement in wireless sensor networks. - Antonio Fasano 001; Gesualdo Scutari (ICASSP, 2008)

Competitive design of multiuser MIMO interference systems based on game theory: A unified framework. - Gesualdo Scutari; Daniel Pérez Palomar; Sergio Barbarossa (ICASSP, 2008)

Asynchronous Iterative Waterfilling for Gaussian Frequency-Selective Interference Channels - Gesualdo Scutari; Daniel Pérez Palomar; Sergio Barbarossa (CoRR, 2008)

Cognitive MIMO Radio: A Competitive Optimality Design Based on Subspace Projections - Gesualdo Scutari; Daniel Pérez Palomar; Sergio Barbarossa (CoRR, 2008)

Competitive Design of Multiuser MIMO Systems Based on Game Theory: A Unified View. - Gesualdo Scutari; Daniel Pérez Palomar; Sergio Barbarossa (IEEE J. Sel. Areas Commun., 2008)

Physical-layer distributed synchronization in wireless networks and applications. - Osvaldo Simeone; Umberto Spagnolini; Gesualdo Scutari; Yeheskel Bar-Ness (Phys. Commun., 2008)

Cognitive MIMO radio. - Gesualdo Scutari; Daniel P. Palomar; Sergio Barbarossa (IEEE Signal Process. Mag., 2008)

Distributed Power Allocation With Rate Constraints in Gaussian Parallel Interference Channels. - Jong-Shi Pang; Gesualdo Scutari; Francisco Facchinei; Chaoxiong Wang (IEEE Trans. Inf. Theory, 2008)

Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels. - Gesualdo Scutari; Daniel Pérez Palomar; Sergio Barbarossa (IEEE Trans. Inf. Theory, 2008)

Distributed Consensus Over Wireless Sensor Networks Affected by Multipath Fading. - Gesualdo Scutari; Sergio Barbarossa (IEEE Trans. Signal Process., 2008)

Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Asymmetric Channels. - Gesualdo Scutari; Sergio Barbarossa; Loreto Pescosolido (IEEE Trans. Signal Process., 2008)

Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory - Part I: Nash Equilibria. - Gesualdo Scutari; Daniel Pérez Palomar; Sergio Barbarossa (IEEE Trans. Signal Process., 2008)

Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems Based on Game Theory - Part II: Algorithms. - Gesualdo Scutari; Daniel Pérez Palomar; Sergio Barbarossa (IEEE Trans. Signal Process., 2008)

Competitive optimization of cognitive radio MIMO systems via game theory. - Gesualdo Scutari; Daniel P. Palomar; Sergio Barbarossa (GAMENETS, 2009)

Distributed signal subspace projection algorithms with maximum convergence rate for sensor networks with topological constraints. - Sergio Barbarossa; Gesualdo Scutari; Timothy Battisti (ICASSP, 2009)

Flexible design of cognitive radio wireless systems. - Gesualdo Scutari; Daniel P. Palomar; Jong-Shi Pang; Francisco Facchinei (IEEE Signal Process. Mag., 2009)

The MIMO iterative waterfilling algorithm. - Gesualdo Scutari; Daniel Pérez Palomar; Sergio Barbarossa (IEEE Trans. Signal Process., 2009)

Competitive optimization of cognitive radio MIMO systems via game theory. - Gesualdo Scutari; Daniel P. Palomar; Sergio Barbarossa (Convex Optimization in Signal Processing and Communications, 2010)

Robust cognitive radio via game theory. - Jiaheng Wang 001; Gesualdo Scutari; Daniel Pérez Palomar (ISIT, 2010)

Convex Optimization, Game Theory, and Variational Inequality Theory. - Gesualdo Scutari; Daniel Pérez Palomar; Francisco Facchinei; Jong-Shi Pang (IEEE Signal Process. Mag., 2010)

Design of cognitive radio systems under temperature-interference constraints: a variational inequality approach. - Jong-Shi Pang; Gesualdo Scutari; Daniel Pérez Palomar; Francisco Facchinei (IEEE Trans. Signal Process., 2010)

MIMO cognitive radio: a game theoretical approach. - Gesualdo Scutari; Daniel Pérez Palomar (IEEE Trans. Signal Process., 2010)

Distributed dynamic pricing for MIMO interfering multiuser systems: A unified approach. - Gesualdo Scutari; Daniel P. Palomar; Francisco Facchinei; Jong-Shi Pang (NetGCoop, 2011)

Nonconvex Games with Side Constraints. - Jong-Shi Pang; Gesualdo Scutari (SIAM J. Optim., 2011)

Robust MIMO Cognitive Radio Via Game Theory. - Jiaheng Wang 001; Gesualdo Scutari; Daniel Pérez Palomar (IEEE Trans. Signal Process., 2011)

Equilibrium selection in power control games on the interference channel. - Gesualdo Scutari; Francisco Facchinei; Jong-Shi Pang; Lorenzo Lampariello (INFOCOM, 2012)

Day-ahead bidding strategies for demand-side expected cost minimization. - Italo Atzeni; Luis Garcia Ordóñez; Gesualdo Scutari; Daniel P. Palomar; Javier Rodríguez Fonollosa (SmartGridComm, 2012)

Equilibrium selection in MIMO communication games. - Gesualdo Scutari; Francisco Facchinei; Jong-Shi Pang (SPAWC, 2012)

Cooperative day-ahead bidding strategies for demand-side expected cost minimization. - Italo Atzeni; Luis Garcia Ordóñez; Gesualdo Scutari; Daniel Pérez Palomar; Javier Rodríguez Fonollosa (ICASSP, 2013)

Decomposition by partial linearization in multiuser systems. - Gesualdo Scutari; Francisco Facchinei; Daniel Pérez Song; Daniel P. Palomar; Jong-Shi Pang (ICASSP, 2013)

Robust MIMO cognitive radio systems under temperature interference constraints. - Yang Yang 033; Peiran Song; Gesualdo Scutari; Daniel P. Palomar (ICASSP, 2013)

Distributed queueing games in interference-limited wireless networks. - Zhangyu Guan; Tommaso Melodia; Gesualdo Scutari (ICC, 2013)

Parallel stochastic decomposition algorithms for multi-agent systems. - Yang Yang 033; Gesualdo Scutari; Daniel Pérez Palomar (SPAWC, 2013)

A New Distributed DC-Programming Method and its Application to Physical Layer Security. - Alberth Alvarado; Gesualdo Scutari; Jong-Shi Pang (CoRR, 2013)

Robust MIMO Cognitive Radio Systems Under Interference Temperature Constraints. - Yang Yang 033; Gesualdo Scutari; Peiran Song; Daniel P. Palomar (IEEE J. Sel. Areas Commun., 2013)

Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Nash Equilibria and Distributed Algorithms. - Gesualdo Scutari; Jong-Shi Pang (IEEE Trans. Inf. Theory, 2013)

Demand-Side Management via Distributed Energy Generation and Storage Optimization. - Italo Atzeni; Luis Garcia Ordóñez; Gesualdo Scutari; Daniel P. Palomar; Javier Rodríguez Fonollosa (IEEE Trans. Smart Grid, 2013)

Noncooperative and Cooperative Optimization of Distributed Energy Generation and Storage in the Demand-Side of the Smart Grid. - Italo Atzeni; Luis Garcia Ordóñez; Gesualdo Scutari; Daniel P. Palomar; Javier Rodríguez Fonollosa (IEEE Trans. Signal Process., 2013)

Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Quasi-Nash Equilibria. - Jong-Shi Pang; Gesualdo Scutari (IEEE Trans. Signal Process., 2013)

Multi-Portfolio Optimization: A Potential Game Approach. - Yang Yang 033; Francisco Rubio 001; Gesualdo Scutari; Daniel P. Palomar (IEEE Trans. Signal Process., 2013)

Flexible selective parallel algorithms for big data optimization. - Amir Daneshmand; Francisco Facchinei; Vyacheslav Kungurtsev; Gesualdo Scutari (ACSSC, 2014)

Distributed joint optimization of radio and computational resources for mobile cloud computing. - Stefania Sardellitti; Gesualdo Scutari; Sergio Barbarossa (CloudNet, 2014)

Distributed mobile cloud computing: Joint optimization of radio and computational resources. - Stefania Sardellitti; Sergio Barbarossa; Gesualdo Scutari (GLOBECOM Workshops, 2014)

Flexible parallel algorithms for big data optimization. - Francisco Facchinei; Simone Sagratella; Gesualdo Scutari (ICASSP, 2014)

Joint cell selection and radio resource allocation in MIMO small cell networks via successive convex approximation. - Stefania Sardellitti; Gesualdo Scutari; Sergio Barbarossa (ICASSP, 2014)

Parallel and distributed methods for nonconvex optimization. - Gesualdo Scutari; Francisco Facchinei; Lorenzo Lampariello; Peiran Song (ICASSP, 2014)

Joint optimization of radio and computational resources for multicell mobile cloud computing. - Stefania Sardellitti; Gesualdo Scutari; Sergio Barbarossa (SPAWC, 2014)

Non-cooperative games with minmax objectives. - Francisco Facchinei; Jong-Shi Pang; Gesualdo Scutari (Comput. Optim. Appl., 2014)

Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization. - Amir Daneshmand; Francisco Facchinei; Vyacheslav Kungurtsev; Gesualdo Scutari (CoRR, 2014)

Parallel Algorithms for Big Data Optimization. - Francisco Facchinei; Simone Sagratella; Gesualdo Scutari (CoRR, 2014)

Distributed Methods for Constrained Nonconvex Multi-Agent Optimization-Part I: Theory. - Gesualdo Scutari; Francisco Facchinei; Lorenzo Lampariello; Peiran Song (CoRR, 2014)

A Parallel Stochastic Approximation Method for Nonconvex Multi-Agent Optimization Problems. - Yang Yang 033; Gesualdo Scutari; Daniel Pérez Palomar; Marius Pesavento (CoRR, 2014)

VI-constrained hemivariational inequalities: distributed algorithms and power control in ad-hoc networks. - Francisco Facchinei; Jong-Shi Pang; Gesualdo Scutari; Lorenzo Lampariello (Math. Program., 2014)

Real and Complex Monotone Communication Games. - Gesualdo Scutari; Francisco Facchinei; Jong-Shi Pang; Daniel P. Palomar (IEEE Trans. Inf. Theory, 2014)

A New Decomposition Method for Multiuser DC-Programming and Its Applications. - Alberth Alvarado; Gesualdo Scutari; Jong-Shi Pang (IEEE Trans. Signal Process., 2014)

Noncooperative Day-Ahead Bidding Strategies for Demand-Side Expected Cost Minimization With Real-Time Adjustments: A GNEP Approach. - Italo Atzeni; Luis Garcia Ordóñez; Gesualdo Scutari; Daniel P. Palomar; Javier Rodríguez Fonollosa (IEEE Trans. Signal Process., 2014)

Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems. - Gesualdo Scutari; Francisco Facchinei; Peiran Song; Daniel P. Palomar; Jong-Shi Pang (IEEE Trans. Signal Process., 2014)

Distributed nonconvex optimization over networks. - Paolo Di Lorenzo; Gesualdo Scutari (CAMSAP, 2015)

Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing. - Stefania Sardellitti; Gesualdo Scutari; Sergio Barbarossa (IEEE Trans. Signal Inf. Process. over Networks, 2015)

Hybrid Random/Deterministic Parallel Algorithms for Convex and Nonconvex Big Data Optimization. - Amir Daneshmand; Francisco Facchinei; Vyacheslav Kungurtsev; Gesualdo Scutari (IEEE Trans. Signal Process., 2015)

Parallel Selective Algorithms for Nonconvex Big Data Optimization. - Francisco Facchinei; Gesualdo Scutari; Simone Sagratella (IEEE Trans. Signal Process., 2015)

Parallel asynchronous lock-free algorithms for nonconvex big-data optimization. - Loris Cannelli; Gesualdo Scutari; Francisco Facchinei; Vyacheslav Kungurtsev (ACSSC, 2016)

Distributed dictionary learning. - Amir Daneshmand; Gesualdo Scutari; Francisco Facchinei (ACSSC, 2016)

Distributed nonconvex multiagent optimization over time-varying networks. - Ying Sun 003; Gesualdo Scutari; Daniel Pérez Palomar (ACSSC, 2016)

Distributed nonconvex optimization over time-varying networks. - Paolo Di Lorenzo; Gesualdo Scutari (ICASSP, 2016)

D3M: Distributed multi-cell multigroup multicasting. - Peiran Song; Gesualdo Scutari; Francisco Facchinei; Lorenzo Lampariello (ICASSP, 2016)

Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization: Model and Convergence. - Loris Cannelli; Francisco Facchinei; Vyacheslav Kungurtsev; Gesualdo Scutari (CoRR, 2016)

Parallel and Distributed Methods for Nonconvex Optimization-Part II: Applications. - Gesualdo Scutari; Francisco Facchinei; Lorenzo Lampariello; Peiran Song; Stefania Sardellitti (CoRR, 2016)

To Transmit or Not to Transmit? Distributed Queueing Games in Infrastructureless Wireless Networks. - Zhangyu Guan; Tommaso Melodia; Gesualdo Scutari (IEEE/ACM Trans. Netw., 2016)

NEXT: In-Network Nonconvex Optimization. - Paolo Di Lorenzo; Gesualdo Scutari (IEEE Trans. Signal Inf. Process. over Networks, 2016)

A Parallel Decomposition Method for Nonconvex Stochastic Multi-Agent Optimization Problems. - Yang Yang 033; Gesualdo Scutari; Daniel P. Palomar; Marius Pesavento (IEEE Trans. Signal Process., 2016)

Topology-agnostic average consensus in sensor networks with limited data rate. - Chang-Shen Lee; Nicolò Michelusi; Gesualdo Scutari (ACSSC, 2017)

Multi-Agent asynchronous nonconvex large-scale optimization. - Loris Cannelli; Francisco Facchinei; Gesualdo Scutari (CAMSAP, 2017)

Distributed big-data optimization via block communications. - Ivano Notarnicola; Ying Sun 003; Gesualdo Scutari; Giuseppe Notarstefano (CAMSAP, 2017)

Distributed big-data optimization via block-iterative convexification and averaging. - Ivano Notarnicola; Ying Sun 003; Gesualdo Scutari; Giuseppe Notarstefano (CDC, 2017)

Asynchronous parallel nonconvex large-scale optimization. - Loris Cannelli; Francisco Facchinei; Vyacheslav Kungurtsev; Gesualdo Scutari (ICASSP, 2017)

D2L: Decentralized dictionary learning over dynamic networks. - Amir Daneshmand; Ying Sun 003; Gesualdo Scutari; Francisco Facchinei (ICASSP, 2017)

Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation. - Aryan Mokhtari; Alec Koppel; Gesualdo Scutari; Alejandro Ribeiro (ICASSP, 2017)

Distributed nonconvex optimization for sparse representation. - Ying Sun 003; Gesualdo Scutari (ICASSP, 2017)

Essentially cyclic asynchronous nonconvex large-scale optimization. - Loris Cannelli; Francisco Facchinei; Vyacheslav Kungurtsev; Gesualdo Scutari (SPAWC, 2017)

Feasible methods for nonconvex nonsmooth problems with applications in green communications. - Francisco Facchinei; Lorenzo Lampariello; Gesualdo Scutari (Math. Program., 2017)

Joint Uplink/Downlink Optimization for Backhaul-Limited Mobile Cloud Computing With User Scheduling. - Ali Najdi Al-Shuwaili; Osvaldo Simeone; Alireza Bagheri; Gesualdo Scutari (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Parallel and Distributed Methods for Constrained Nonconvex Optimization - Part I: Theory. - Gesualdo Scutari; Francisco Facchinei; Lorenzo Lampariello (IEEE Trans. Signal Process., 2017)

Parallel and Distributed Methods for Constrained Nonconvex Optimization-Part II: Applications in Communications and Machine Learning. - Gesualdo Scutari; Francisco Facchinei; Lorenzo Lampariello; Stefania Sardellitti; Peiran Song (IEEE Trans. Signal Process., 2017)

Finite Rate Quantized Distributed optimization with Geometric Convergence. - Chang-Shen Lee; Nicolò Michelusi; Gesualdo Scutari (ACSSC, 2018)

Second-order Guarantees of Gradient Algorithms over Networks. - Amir Daneshmand; Gesualdo Scutari; Vyacheslav Kungurtsev (Allerton, 2018)

ASY-SONATA: Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization. - Ye Tian 021; Ying Sun 003; Gesualdo Scutari (Allerton, 2018)

Distributed Quantized Weight-Balancing and Average Consensus Over Digraphs. - Chang-Shen Lee; Nicolò Michelusi; Gesualdo Scutari (CDC, 2018)

ASY-SONATA: Achieving Geometric Convergence for Distributed Asynchronous Optimization. - Ye Tian 021; Ying Sun 003; Bin Du; Gesualdo Scutari (CoRR, 2018)

Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization. - Gesualdo Scutari; Ying Sun 003 (CoRR, 2018)

Distributed Big-Data Optimization via Block-wise Gradient Tracking. - Ivano Notarnicola; Ying Sun 003; Gesualdo Scutari; Giuseppe Notarstefano (CoRR, 2018)

Limited Rate Distributed Weight-Balancing and Average Consensus Over Digraphs. - Chang-Shen Lee; Nicolò Michelusi; Gesualdo Scutari (CoRR, 2018)

A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization. - Jinming Xu 002; Ying Sun 003; Ye Tian 021; Gesualdo Scutari (CAMSAP, 2019)

Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking. - Ying Sun 003; Amir Daneshmand; Gesualdo Scutari (CoRR, 2019)

Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures. - Saurabh Bagchi; Vaneet Aggarwal; Somali Chaterji; Fred Douglis; Aly El Gamal; Jiawei Han 001; Brian J. Henz; Hank Hoffmann; Suman Jana; Milind Kulkarni 001; Felix Xiaozhu Lin; Karen B. Marais; et al. (CoRR, 2019)

Decentralized Dictionary Learning Over Time-Varying Digraphs. - Amir Daneshmand; Ying Sun 003; Gesualdo Scutari; Francisco Facchinei; Brian M. Sadler (J. Mach. Learn. Res., 2019)

Distributed nonconvex constrained optimization over time-varying digraphs. - Gesualdo Scutari; Ying Sun 003 (Math. Program., 2019)

Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. - Jinming Xu 002; Ye Tian 021; Ying Sun 003; Gesualdo Scutari (AISTATS, 2020)

A Unified Algorithmic Framework for Distributed Composite Optimization. - Jinming Xu 002; Ye Tian 021; Ying Sun 003; Gesualdo Scutari (CDC, 2020)

Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. - Gaurav N. Shetty; Konstantinos Slavakis; Ukash Nakarmi; Gesualdo Scutari; Leslie Ying (EUSIPCO, 2020)

Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis. - Jinming Xu 002; Ye Tian 021; Ying Sun 003; Gesualdo Scutari (CoRR, 2020)

Asynchronous parallel algorithms for nonconvex optimization. - Loris Cannelli; Francisco Facchinei; Vyacheslav Kungurtsev; Gesualdo Scutari (Math. Program., 2020)

Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures. - Saurabh Bagchi; Vaneet Aggarwal; Somali Chaterji; Fred Douglis; Aly El Gamal; Jiawei Han 001; Brian J. Henz; Henry Hoffmann; Suman Jana; Milind Kulkarni 001; Felix Xiaozhu Lin; Karen B. Marais; et al. (IEEE Open J. Comput. Soc., 2020)

Second-Order Guarantees of Distributed Gradient Algorithms. - Amir Daneshmand; Gesualdo Scutari; Vyacheslav Kungurtsev (SIAM J. Optim., 2020)

Nonconvex Optimization for Signal Processing and Machine Learning [From the Guest Editors]. - Anthony Man-Cho So; Prateek Jain 002; Wing-Kin Ma; Gesualdo Scutari (IEEE Signal Process. Mag., 2020)

Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization. - Ye Tian 021; Ying Sun 003; Gesualdo Scutari (IEEE Trans. Autom. Control., 2020)

Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. - Gaurav N. Shetty; Konstantinos Slavakis; Abhishek Bose; Ukash Nakarmi; Gesualdo Scutari; Leslie Ying (IEEE Trans. Medical Imaging, 2020)

An Accelerated Second-Order Method for Distributed Stochastic Optimization. - Artem Agafonov; Pavel E. Dvurechensky; Gesualdo Scutari; Alexander V. Gasnikov; Dmitry Kamzolov; Aleksandr Lukashevich; Amir Daneshmand (CDC, 2021)

Newton Method over Networks is Fast up to the Statistical Precision. - Amir Daneshmand; Gesualdo Scutari; Pavel E. Dvurechensky; Alexander V. Gasnikov (ICML, 2021)

Distributed Saddle-Point Problems Under Data Similarity. - Aleksandr Beznosikov; Gesualdo Scutari; Alexander Rogozin; Alexander V. Gasnikov (NeurIPS, 2021)

Distributed Saddle-Point Problems Under Similarity. - Aleksandr Beznosikov; Gesualdo Scutari; Alexander Rogozin; Alexander V. Gasnikov (CoRR, 2021)

Ghost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity. - Francisco Facchinei; Vyacheslav Kungurtsev; Lorenzo Lampariello; Gesualdo Scutari (Math. Oper. Res., 2021)

Asynchronous Optimization Over Graphs: Linear Convergence Under Error Bound Conditions. - Loris Cannelli; Francisco Facchinei; Gesualdo Scutari; Vyacheslav Kungurtsev (IEEE Trans. Autom. Control., 2021)

Finite Rate Distributed Weight-Balancing and Average Consensus Over Digraphs. - Chang-Shen Lee; Nicolò Michelusi; Gesualdo Scutari (IEEE Trans. Autom. Control., 2021)

Distributed Big-Data Optimization via Blockwise Gradient Tracking. - Ivano Notarnicola; Ying Sun 003; Gesualdo Scutari; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2021)

Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis. - Jinming Xu 002; Ye Tian 021; Ying Sun 003; Gesualdo Scutari (IEEE Trans. Signal Process., 2021)

Acceleration in Distributed Optimization under Similarity. - Ye Tian 021; Gesualdo Scutari; Tianyu Cao 005; Alexander V. Gasnikov (AISTATS, 2022)

Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity. - Dmitry Kovalev; Aleksandr Beznosikov; Ekaterina Borodich; Alexander V. Gasnikov; Gesualdo Scutari (NeurIPS, 2022)

DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery. - Marie Maros; Gesualdo Scutari (NeurIPS, 2022)

Acceleration in Distributed Sparse Regression. - Marie Maros; Gesualdo Scutari (NeurIPS, 2022)

High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees. - Ying Sun 003; Marie Maros; Gesualdo Scutari; Guang Cheng (CoRR, 2022)

Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity. - Dmitry Kovalev; Aleksandr Beznosikov; Ekaterina Borodich; Alexander V. Gasnikov; Gesualdo Scutari (CoRR, 2022)

Diminishing stepsize methods for nonconvex composite problems via ghost penalties: from the general to the convex regular constrained case. - Francisco Facchinei; Vyacheslav Kungurtsev; Lorenzo Lampariello; Gesualdo Scutari (Optim. Methods Softw., 2022)

Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation. - Ying Sun 003; Gesualdo Scutari; Amir Daneshmand (SIAM J. Optim., 2022)

Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case. - Konstantinos Slavakis; Gaurav N. Shetty; Loris Cannelli; Gesualdo Scutari; Ukash Nakarmi; Leslie Ying (IEEE Trans. Computational Imaging, 2022)

Finite-Bit Quantization for Distributed Algorithms With Linear Convergence. - Nicolò Michelusi; Gesualdo Scutari; Chang-Shen Lee (IEEE Trans. Inf. Theory, 2022)

A Unified View of Decentralized Algorithms for Sparse Linear Regression. - Marie Maros; Gesualdo Scutari (CAMSAP, 2023)

Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence. - Marie Maros; Gesualdo Scutari (NeurIPS, 2023)

Distributed Sparse Regression via Penalization. - Yao Ji; Gesualdo Scutari; Ying Sun 003; Harsha Honnappa (J. Mach. Learn. Res., 2023)

Distributed (ATC) Gradient Descent for High Dimension Sparse Regression. - Yao Ji; Gesualdo Scutari; Ying Sun 003; Harsha Honnappa (IEEE Trans. Inf. Theory, 2023)

Decentralized Asynchronous Nonconvex Stochastic Optimization on Directed Graphs. - Vyacheslav Kungurtsev; Mahdi Morafah; Tara Javidi; Gesualdo Scutari (IEEE Trans. Control. Netw. Syst., 2023)

Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization. - Ilya A. Kuruzov; Gesualdo Scutari; Alexander V. Gasnikov (NeurIPS, 2024)

Enhancing Convergence of Decentralized Gradient Tracking under the KL Property. - Xiaokai Chen; Tianyu Cao 005; Gesualdo Scutari (CoRR, 2024)

DCatalyst: A Unified Accelerated Framework for Decentralized Optimization. - Tianyu Cao 005; Xiaokai Chen; Gesualdo Scutari (CoRR, 2025)