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

Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization - Ilya A. Kuruzov; Gesualdo Scutari; Alexander V. Gasnikov (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

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

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

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

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

A Unified View of Decentralized Algorithms for Sparse Linear Regression - Marie Maros; Gesualdo Scutari (9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023, Herradura, Costa Rica, December 10-13, 2023, 2023)

Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence - Marie Maros; Gesualdo Scutari (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

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; 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)

Acceleration in Distributed Optimization under Similarity - Ye Tian; Gesualdo Scutari; Tianyu Cao; Alexander V. Gasnikov (International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event, 2022)

Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity - Dmitry Kovalev; Aleksandr Beznosikov; Ekaterina Borodich; Alexander V. Gasnikov; Gesualdo Scutari (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery - Marie Maros; Gesualdo Scutari (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Acceleration in Distributed Sparse Regression - Marie Maros; Gesualdo Scutari (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees - Ying Sun; 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)

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

Distributed Big-Data Optimization via Blockwise Gradient Tracking - Ivano Notarnicola; Ying Sun; Gesualdo Scutari; Giuseppe Notarstefano (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)

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

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

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 (2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 14-17, 2021, 2021)

Newton Method over Networks is Fast up to the Statistical Precision - Amir Daneshmand; Gesualdo Scutari; Pavel E. Dvurechensky; Alexander V. Gasnikov (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

Distributed Saddle-Point Problems Under Data Similarity - Aleksandr Beznosikov; Gesualdo Scutari; Alexander Rogozin; Alexander V. Gasnikov (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

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

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

Finite-Bit Quantization For Distributed Algorithms With Linear Convergence - Chang-Shen Lee; Nicolò Michelusi; Gesualdo Scutari (CoRR, 2021)

Acceleration in Distributed Optimization Under Similarity - Ye Tian; Gesualdo Scutari; Tianyu Cao; Alexander V. Gasnikov (CoRR, 2021)

Distributed Sparse Regression via Penalization - Yao Ji; Gesualdo Scutari; Ying Sun; Harsha Honnappa (CoRR, 2021)

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; Brian J. Henz; Henry Hoffmann; Suman Jana; Milind Kulkarni; 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; Wing-Kin Ma; Gesualdo Scutari (IEEE Signal Process. Mag., 2020)

Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization - Ye Tian; Ying Sun; 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)

Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks - Jinming Xu; Ye Tian; Ying Sun; Gesualdo Scutari (The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy], 2020)

A Unified Algorithmic Framework for Distributed Composite Optimization - Jinming Xu; Ye Tian; Ying Sun; Gesualdo Scutari (59th IEEE Conference on Decision and Control, CDC 2020, Jeju Island, South Korea, December 14-18, 2020, 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 (28th European Signal Processing Conference, EUSIPCO 2020, Amsterdam, Netherlands, January 18-21, 2021, 2020)

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

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

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

A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization - Jinming Xu; Ying Sun; Ye Tian; Gesualdo Scutari (8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019, Le Gosier, Guadeloupe, December 15-18, 2019, 2019)

Finite rate distributed weight-balancing and average consensus over digraphs - Chang-Shen Lee; Nicolò Michelusi; Gesualdo Scutari (CoRR, 2019)

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

Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks - Jinming Xu; Ye Tian; Ying Sun; 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; Brian J. Henz; Hank Hoffmann; Suman Jana; Milind Kulkarni; Felix Xiaozhu Lin; Karen B. Marais; et al. (CoRR, 2019)

Finite Rate Quantized Distributed optimization with Geometric Convergence - Chang-Shen Lee; Nicolò Michelusi; Gesualdo Scutari (52nd Asilomar Conference on Signals, Systems, and Computers, ACSSC 2018, Pacific Grove, CA, USA, October 28-31, 2018, 2018)

Second-order Guarantees of Gradient Algorithms over Networks - Amir Daneshmand; Gesualdo Scutari; Vyacheslav Kungurtsev (56th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2018, Monticello, IL, USA, October 2-5, 2018, 2018)

ASY-SONATA: Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization - Ye Tian; Ying Sun; Gesualdo Scutari (56th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2018, Monticello, IL, USA, October 2-5, 2018, 2018)

Distributed Quantized Weight-Balancing and Average Consensus Over Digraphs - Chang-Shen Lee; Nicolò Michelusi; Gesualdo Scutari (57th IEEE Conference on Decision and Control, CDC 2018, Miami, FL, USA, December 17-19, 2018, 2018)

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

Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging - Ivano Notarnicola; Ying Sun; Gesualdo Scutari; Giuseppe Notarstefano (CoRR, 2018)

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

Distributed Big-Data Optimization via Block Communications - Ivano Notarnicola; Ying Sun; Gesualdo Scutari; Giuseppe Notarstefano (CoRR, 2018)

Decentralized Dictionary Learning Over Time-Varying Digraphs - Amir Daneshmand; Ying Sun; Gesualdo Scutari; Francisco Facchinei; Brian M. Sadler (CoRR, 2018)

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

Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs - Gesualdo Scutari; Ying Sun (CoRR, 2018)

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

Second-order Guarantees of Distributed Gradient Algorithms - Amir Daneshmand; Gesualdo Scutari; Vyacheslav Kungurtsev (CoRR, 2018)

Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery - Gaurav N. Shetty; Konstantinos Slavakis; Abhishek Bose; Ukash Nakarmi; Leslie Ying; Gesualdo Scutari (CoRR, 2018)

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)

Topology-agnostic average consensus in sensor networks with limited data rate - Chang-Shen Lee; Nicolò Michelusi; Gesualdo Scutari (51st Asilomar Conference on Signals, Systems, and Computers, ACSSC 2017, Pacific Grove, CA, USA, October 29 - November 1, 2017, 2017)

Multi-Agent asynchronous nonconvex large-scale optimization - Loris Cannelli; Francisco Facchinei; Gesualdo Scutari (2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017, Curaçao, The Netherlands, December 10-13, 2017, 2017)

Distributed big-data optimization via block communications - Ivano Notarnicola; Ying Sun; Gesualdo Scutari; Giuseppe Notarstefano (2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017, Curaçao, The Netherlands, December 10-13, 2017, 2017)

Distributed big-data optimization via block-iterative convexification and averaging - Ivano Notarnicola; Ying Sun; Gesualdo Scutari; Giuseppe Notarstefano (56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, Australia, December 12-15, 2017, 2017)

Distributed nonconvex optimization for sparse representation - Ying Sun; Gesualdo Scutari (2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017, 2017)

D2L: Decentralized dictionary learning over dynamic networks - Amir Daneshmand; Ying Sun; Gesualdo Scutari; Francisco Facchinei (2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017, 2017)

Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation - Aryan Mokhtari; Alec Koppel; Gesualdo Scutari; Alejandro Ribeiro (2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017, 2017)

Asynchronous parallel nonconvex large-scale optimization - Loris Cannelli; Francisco Facchinei; Vyacheslav Kungurtsev; Gesualdo Scutari (2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017, 2017)

Essentially cyclic asynchronous nonconvex large-scale optimization - Loris Cannelli; Francisco Facchinei; Vyacheslav Kungurtsev; Gesualdo Scutari (18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017, Sapporo, Japan, July 3-6, 2017, 2017)

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; Gesualdo Scutari; Daniel P. Palomar; Marius Pesavento (IEEE Trans. Signal Process., 2016)

Distributed nonconvex multiagent optimization over time-varying networks - Ying Sun; Gesualdo Scutari; Daniel Pérez Palomar (50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, Pacific Grove, CA, USA, November 6-9, 2016, 2016)

Distributed dictionary learning - Amir Daneshmand; Gesualdo Scutari; Francisco Facchinei (50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, Pacific Grove, CA, USA, November 6-9, 2016, 2016)

Parallel asynchronous lock-free algorithms for nonconvex big-data optimization - Loris Cannelli; Gesualdo Scutari; Francisco Facchinei; Vyacheslav Kungurtsev (50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, Pacific Grove, CA, USA, November 6-9, 2016, 2016)

D3M: Distributed multi-cell multigroup multicasting - Peiran Song; Gesualdo Scutari; Francisco Facchinei; Lorenzo Lampariello (2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, March 20-25, 2016, 2016)

Distributed nonconvex optimization over time-varying networks - Paolo Di Lorenzo; Gesualdo Scutari (2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, March 20-25, 2016, 2016)

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

NEXT: In-Network Nonconvex Optimization - Paolo Di Lorenzo; Gesualdo Scutari (CoRR, 2016)

Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks - Ying Sun; Gesualdo Scutari; Daniel P. Palomar (CoRR, 2016)

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

Joint Uplink/Downlink Optimization for Backhaul-Limited Mobile Cloud Computing with User Scheduling - Ali Najdi Al-Shuwaili; Osvaldo Simeone; Alireza Bagheri; Gesualdo Scutari (CoRR, 2016)

Distributed Nonconvex Optimization for Sparse Representation - Ying Sun; Gesualdo Scutari (CoRR, 2016)

Distributed Dictionary Learning - Amir Daneshmand; Gesualdo Scutari; Francisco Facchinei (CoRR, 2016)

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)

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

Distributed nonconvex optimization over networks - Paolo Di Lorenzo; Gesualdo Scutari (6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015, Cancun, Mexico, December 13-16, 2015, 2015)

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

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)

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)

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

Flexible selective parallel algorithms for big data optimization - Amir Daneshmand; Francisco Facchinei; Vyacheslav Kungurtsev; Gesualdo Scutari (48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014, Pacific Grove, CA, USA, November 2-5, 2014, 2014)

Distributed joint optimization of radio and computational resources for mobile cloud computing - Stefania Sardellitti; Gesualdo Scutari; Sergio Barbarossa (3rd IEEE International Conference on Cloud Networking, CloudNet 2014, Luxembourg, Luxembourg, October 8-10, 2014, 2014)

Distributed mobile cloud computing: Joint optimization of radio and computational resources - Stefania Sardellitti; Sergio Barbarossa; Gesualdo Scutari (2014 IEEE GLOBECOM Workshops, Austin, TX, USA, December 8-12, 2014, 2014)

Parallel and distributed methods for nonconvex optimization - Gesualdo Scutari; Francisco Facchinei; Lorenzo Lampariello; Peiran Song (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014, 2014)

Joint cell selection and radio resource allocation in MIMO small cell networks via successive convex approximation - Stefania Sardellitti; Gesualdo Scutari; Sergio Barbarossa (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014, 2014)

Flexible parallel algorithms for big data optimization - Francisco Facchinei; Simone Sagratella; Gesualdo Scutari (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014, 2014)

Joint optimization of radio and computational resources for multicell mobile cloud computing - Stefania Sardellitti; Gesualdo Scutari; Sergio Barbarossa (2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Toronto, ON, Canada, June 22-25, 2014, 2014)

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

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

Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing - Stefania Sardellitti; Gesualdo Scutari; Sergio Barbarossa (CoRR, 2014)

Robust MIMO Cognitive Radio Systems Under Interference Temperature Constraints - Yang Yang; 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)

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

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

Decomposition by partial linearization in multiuser systems - Gesualdo Scutari; Francisco Facchinei; Daniel Pérez Song; Daniel P. Palomar; Jong-Shi Pang (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013, 2013)

Robust MIMO cognitive radio systems under temperature interference constraints - Yang Yang; Peiran Song; Gesualdo Scutari; Daniel P. Palomar (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013, 2013)

Cooperative day-ahead bidding strategies for demand-side expected cost minimization - Italo Atzeni; Luis Garcia Ordóñez; Gesualdo Scutari; Daniel Pérez Palomar; Javier Rodríguez Fonollosa (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013, 2013)

Distributed queueing games in interference-limited wireless networks - Zhangyu Guan; Tommaso Melodia; Gesualdo Scutari (Proceedings of IEEE International Conference on Communications, ICC 2013, Budapest, Hungary, June 9-13, 2013, 2013)

Parallel stochastic decomposition algorithms for multi-agent systems - Yang Yang; Gesualdo Scutari; Daniel Pérez Palomar (14th IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013, Darmstadt, Germany, June 16-19, 2013, 2013)

Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems - Gesualdo Scutari; Francisco Facchinei; Peiran Song; Daniel P. Palomar; Jong-Shi Pang (CoRR, 2013)

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

Flexible Parallel Algorithms for Big Data Optimization - Francisco Facchinei; Simone Sagratella; Gesualdo Scutari (CoRR, 2013)

Equilibrium selection in power control games on the interference channel - Gesualdo Scutari; Francisco Facchinei; Jong-Shi Pang; Lorenzo Lampariello (Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012)

Day-ahead bidding strategies for demand-side expected cost minimization - Italo Atzeni; Luis Garcia Ordóñez; Gesualdo Scutari; Daniel P. Palomar; Javier Rodríguez Fonollosa (IEEE Third International Conference on Smart Grid Communications, SmartGridComm 2012, Tainan, Taiwan, November 5-8, 2012, 2012)

Equilibrium selection in MIMO communication games - Gesualdo Scutari; Francisco Facchinei; Jong-Shi Pang (13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012, Cesme, Turkey, June 17-20, 2012, 2012)

Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Quasi-Nash Equilibria - Jong-Shi Pang; Gesualdo Scutari (CoRR, 2012)

Real and Complex Monotone Communication Games - Gesualdo Scutari; Francisco Facchinei; Jong-Shi Pang; Daniel P. Palomar (CoRR, 2012)

Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Nash Equilibria and Distributed Algorithms - Gesualdo Scutari; Jong-Shi Pang (CoRR, 2012)

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

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

Multi-portfolio Optimization: A Potential Game Approach - Yang Yang; Francisco Rubio; Gesualdo Scutari; Daniel Pérez Palomar (Game Theory for Networks - 2nd International ICST Conference, GAMENETS 2011, Shanghai, China, April 16-18, 2011, Revised Selected Papers, 2011)

Joint sensing and power allocation in nonconvex cognitive radio games: Quasi-nash equilibria - Gesualdo Scutari; Jong-Shi Pang (17th International Conference on Digital Signal Processing, DSP 2011, Corfu, Greece, July 6-8, 2011, 2011)

Distributed dynamic pricing for MIMO interfering multiuser systems: A unified approach - Gesualdo Scutari; Daniel P. Palomar; Francisco Facchinei; Jong-Shi Pang (5th International Conference on NETwork Games, COntrol and OPtimization, NetGCooP 2011, Paris, France, October 12-14, 2011, 2011)

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

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

Design of cognitive radio systems under temperature-interference constraints: A variational inequality approach - Jong-Shi Pang; Gesualdo Scutari; Daniel Pérez Palomar; Francisco Facchinei (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA, 2010)

Robust cognitive radio via game theory - Jiaheng Wang; Gesualdo Scutari; Daniel Pérez Palomar (IEEE International Symposium on Information Theory, ISIT 2010, June 13-18, 2010, Austin, Texas, USA, Proceedings, 2010)

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)

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 (1st International Conference on Game Theory for Networks, GAMENETS 2009, Istanbul, Turkey, May 13-15, 2009, 2009)

Distributed signal subspace projection algorithms with maximum convergence rate for sensor networks with topological constraints - Sergio Barbarossa; Gesualdo Scutari; Timothy Battisti (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, 19-24 April 2009, Taipei, Taiwan, 2009)

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)

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

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)

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)

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

The effect of additive noise on consensus achievement in wireless sensor networks - Antonio Fasano; Gesualdo Scutari (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, 2008)

Competitive design of multiuser MIMO interference systems based on game theory: A unified framework - Gesualdo Scutari; Daniel Pérez Palomar; Sergio Barbarossa (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, 2008)

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

Distributed Consensus over Wireless Sensor Networks Affected by Multipath Fading - Gesualdo Scutari; Sergio Barbarossa (CoRR, 2008)

Competitive Design of Multiuser MIMO Systems based on Game Theory: A Unified View - 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)

The MIMO Iterative Waterfilling Algorithm - Gesualdo Scutari; Daniel Pérez Palomar; Sergio Barbarossa (CoRR, 2008)

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)

Achieving Consensus in Self-Organizing Wireless Sensor Networks: The Impact of Network Topology on Energy Consumption - Sergio Barbarossa; Gesualdo Scutari; Ananthram Swami (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2007, Honolulu, Hawaii, USA, April 15-20, 2007, 2007)

Distributed Totally Asynchronous Iterative Waterfilling for Wideband Interference Channel with Time/Frequency Offset - Gesualdo Scutari; Daniel P. Palomar; Sergio Barbarossa (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2007, Honolulu, Hawaii, USA, April 15-20, 2007, 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)

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

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

Distributed detection and estimation in decentralized sensor networks: An overview - Sergio Barbarossa; Gesualdo Scutari; Ananthram Swami (14th European Signal Processing Conference, EUSIPCO 2006, Florence, Italy, September 4-8, 2006, 2006)

Potential Games: A Framework for Vector Power Control Problems With Coupled Constraints - Gesualdo Scutari; Sergio Barbarossa; Daniel P. Palomar (2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 2006)

Global Stability of a Population of Mutually Coupled Oscillators Reaching Global ML Estimate Through a Decentralized Approach - Sergio Barbarossa; Gesualdo Scutari; Loreto Pescosolido (2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 2006)

Decentralized Detection and Localization Through Sensor Networks Designed As a Population of Self-Synchronizing Oscillators - Loreto Pescosolido; Sergio Barbarossa; Gesualdo Scutari (2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 2006)

Simultaneous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels - Gesualdo Scutari; Daniel P. Palomar; Sergio Barbarossa (Proceedings 2006 IEEE International Symposium on Information Theory, ISIT 2006, The Westin Seattle, Seattle, Washington, USA, July 9-14, 2006, 2006)

Decentralized Maximum Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems - Sergio Barbarossa; Gesualdo Scutari (CoRR, 2006)

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

Distributed space-time coding strategies for wideband multihop networks: regenerative vs. non-regenerative relays - Sergio Barbarossa; Gesualdo Scutari (2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2004, Montreal, Quebec, Canada, May 17-21, 2004, 2004)

On the maximum achievable rates in wireless meshed networks: centralized versus decentralized solutions - Gesualdo Scutari; Sergio Barbarossa; Daniele Ludovici (2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2004, Montreal, Quebec, Canada, May 17-21, 2004, 2004)

Distributed space-time coding for multihop networks - Sergio Barbarossa; Gesualdo Scutari (Proceedings of IEEE International Conference on Communications, ICC 2004, Paris, France, 20-24 June 2004, 2004)

Cooperative diversity through virtual arrays in multihop networks - Sergio Barbarossa; Gesualdo Scutari (2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '03, Hong Kong, April 6-10, 2003, 2003)

Concatenated space-time coding with optimal trade-off between diversity and coding gains - Gesualdo Scutari; Giancarlo Paccapeli; Sergio Barbarossa (2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '03, Hong Kong, April 6-10, 2003, 2003)

Concatenated space-time block coding with maximum diversity gain - Sergio Barbarossa; Gesualdo Scutari; Giancarlo Paccapeli (Proceedings of IEEE International Conference on Communications, ICC 2003, Anchorage, Alaska, USA, 11-15 May, 2003, 2003)

Generalized water-filling for multiple transmit antenna systems - Gesualdo Scutari; Sergio Barbarossa (Proceedings of IEEE International Conference on Communications, ICC 2003, Anchorage, Alaska, USA, 11-15 May, 2003, 2003)

On the maximum common rate in multiple access channels - Sergio Barbarossa; Gesualdo Scutari (11th European Signal Processing Conference, EUSIPCO 2002, Toulouse, France, September 3-6, 2002, 2002)

MUI-free CDMA systems incorporating space-time coding and channel shortening - Sergio Barbarossa; Gesualdo Scutari; Ananthram Swami (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2002, May 13-17 2002, Orlando, Florida, USA, 2002)