Gesualdo Scutari

Orcid: 0000-0002-6453-6870

According to our database1, Gesualdo Scutari authored at least 153 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

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Bibliography

2023
Decentralized Asynchronous Nonconvex Stochastic Optimization on Directed Graphs.
IEEE Trans. Control. Netw. Syst., December, 2023

Distributed (ATC) Gradient Descent for High Dimension Sparse Regression.
IEEE Trans. Inf. Theory, August, 2023

Distributed Sparse Regression via Penalization.
J. Mach. Learn. Res., 2023

Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Unified View of Decentralized Algorithms for Sparse Linear Regression.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Finite-Bit Quantization for Distributed Algorithms With Linear Convergence.
IEEE Trans. Inf. Theory, 2022

Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case.
IEEE Trans. Computational Imaging, 2022

Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation.
SIAM J. Optim., 2022

Diminishing stepsize methods for nonconvex composite problems via ghost penalties: from the general to the convex regular constrained case.
Optim. Methods Softw., 2022

Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity.
CoRR, 2022

High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees.
CoRR, 2022

Acceleration in Distributed Sparse Regression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Acceleration in Distributed Optimization under Similarity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis.
IEEE Trans. Signal Process., 2021

Distributed Big-Data Optimization via Blockwise Gradient Tracking.
IEEE Trans. Autom. Control., 2021

Finite Rate Distributed Weight-Balancing and Average Consensus Over Digraphs.
IEEE Trans. Autom. Control., 2021

Asynchronous Optimization Over Graphs: Linear Convergence Under Error Bound Conditions.
IEEE Trans. Autom. Control., 2021

Ghost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity.
Math. Oper. Res., 2021

Distributed Saddle-Point Problems Under Similarity.
CoRR, 2021

Distributed Saddle-Point Problems Under Data Similarity.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Newton Method over Networks is Fast up to the Statistical Precision.
Proceedings of the 38th International Conference on Machine Learning, 2021

An Accelerated Second-Order Method for Distributed Stochastic Optimization.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery.
IEEE Trans. Medical Imaging, 2020

Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization.
IEEE Trans. Autom. Control., 2020

Nonconvex Optimization for Signal Processing and Machine Learning [From the Guest Editors].
IEEE Signal Process. Mag., 2020

Second-Order Guarantees of Distributed Gradient Algorithms.
SIAM J. Optim., 2020

Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures.
IEEE Open J. Comput. Soc., 2020

Asynchronous parallel algorithms for nonconvex optimization.
Math. Program., 2020

Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis.
CoRR, 2020

Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case.
Proceedings of the 28th European Signal Processing Conference, 2020

A Unified Algorithmic Framework for Distributed Composite Optimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Distributed nonconvex constrained optimization over time-varying digraphs.
Math. Program., 2019

Decentralized Dictionary Learning Over Time-Varying Digraphs.
J. Mach. Learn. Res., 2019

Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures.
CoRR, 2019

Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking.
CoRR, 2019

A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Limited Rate Distributed Weight-Balancing and Average Consensus Over Digraphs.
CoRR, 2018

Distributed Big-Data Optimization via Block-wise Gradient Tracking.
CoRR, 2018

Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization.
CoRR, 2018

ASY-SONATA: Achieving Geometric Convergence for Distributed Asynchronous Optimization.
CoRR, 2018

Distributed Quantized Weight-Balancing and Average Consensus Over Digraphs.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

ASY-SONATA: Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Second-order Guarantees of Gradient Algorithms over Networks.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Finite Rate Quantized Distributed optimization with Geometric Convergence.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Parallel and Distributed Methods for Constrained Nonconvex Optimization-Part II: Applications in Communications and Machine Learning.
IEEE Trans. Signal Process., 2017

Parallel and Distributed Methods for Constrained Nonconvex Optimization - Part I: Theory.
IEEE Trans. Signal Process., 2017

Joint Uplink/Downlink Optimization for Backhaul-Limited Mobile Cloud Computing With User Scheduling.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Feasible methods for nonconvex nonsmooth problems with applications in green communications.
Math. Program., 2017

Essentially cyclic asynchronous nonconvex large-scale optimization.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Distributed nonconvex optimization for sparse representation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

D2L: Decentralized dictionary learning over dynamic networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Asynchronous parallel nonconvex large-scale optimization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Distributed big-data optimization via block-iterative convexification and averaging.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Distributed big-data optimization via block communications.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Multi-Agent asynchronous nonconvex large-scale optimization.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Topology-agnostic average consensus in sensor networks with limited data rate.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
A Parallel Decomposition Method for Nonconvex Stochastic Multi-Agent Optimization Problems.
IEEE Trans. Signal Process., 2016

NEXT: In-Network Nonconvex Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2016

To Transmit or Not to Transmit? Distributed Queueing Games in Infrastructureless Wireless Networks.
IEEE/ACM Trans. Netw., 2016

Parallel and Distributed Methods for Nonconvex Optimization-Part II: Applications.
CoRR, 2016

Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization: Model and Convergence.
CoRR, 2016

D3M: Distributed multi-cell multigroup multicasting.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Distributed nonconvex optimization over time-varying networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Distributed nonconvex multiagent optimization over time-varying networks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Distributed dictionary learning.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Parallel asynchronous lock-free algorithms for nonconvex big-data optimization.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Parallel Selective Algorithms for Nonconvex Big Data Optimization.
IEEE Trans. Signal Process., 2015

Hybrid Random/Deterministic Parallel Algorithms for Convex and Nonconvex Big Data Optimization.
IEEE Trans. Signal Process., 2015

Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing.
IEEE Trans. Signal Inf. Process. over Networks, 2015

Distributed nonconvex optimization over networks.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems.
IEEE Trans. Signal Process., 2014

Noncooperative Day-Ahead Bidding Strategies for Demand-Side Expected Cost Minimization With Real-Time Adjustments: A GNEP Approach.
IEEE Trans. Signal Process., 2014

A New Decomposition Method for Multiuser DC-Programming and Its Applications.
IEEE Trans. Signal Process., 2014

Real and Complex Monotone Communication Games.
IEEE Trans. Inf. Theory, 2014

VI-constrained hemivariational inequalities: distributed algorithms and power control in ad-hoc networks.
Math. Program., 2014

A Parallel Stochastic Approximation Method for Nonconvex Multi-Agent Optimization Problems.
CoRR, 2014

Distributed Methods for Constrained Nonconvex Multi-Agent Optimization-Part I: Theory.
CoRR, 2014

Parallel Algorithms for Big Data Optimization.
CoRR, 2014

Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization.
CoRR, 2014

Non-cooperative games with minmax objectives.
Comput. Optim. Appl., 2014

Joint optimization of radio and computational resources for multicell mobile cloud computing.
Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014

Parallel and distributed methods for nonconvex optimization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Joint cell selection and radio resource allocation in MIMO small cell networks via successive convex approximation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Flexible parallel algorithms for big data optimization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Distributed mobile cloud computing: Joint optimization of radio and computational resources.
Proceedings of the 2014 IEEE GLOBECOM Workshops, Austin, TX, USA, December 8-12, 2014, 2014

Distributed joint optimization of radio and computational resources for mobile cloud computing.
Proceedings of the 3rd IEEE International Conference on Cloud Networking, 2014

Flexible selective parallel algorithms for big data optimization.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Multi-Portfolio Optimization: A Potential Game Approach.
IEEE Trans. Signal Process., 2013

Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Quasi-Nash Equilibria.
IEEE Trans. Signal Process., 2013

Noncooperative and Cooperative Optimization of Distributed Energy Generation and Storage in the Demand-Side of the Smart Grid.
IEEE Trans. Signal Process., 2013

Demand-Side Management via Distributed Energy Generation and Storage Optimization.
IEEE Trans. Smart Grid, 2013

Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Nash Equilibria and Distributed Algorithms.
IEEE Trans. Inf. Theory, 2013

Robust MIMO Cognitive Radio Systems Under Interference Temperature Constraints.
IEEE J. Sel. Areas Commun., 2013

A New Distributed DC-Programming Method and its Application to Physical Layer Security.
CoRR, 2013

Parallel stochastic decomposition algorithms for multi-agent systems.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Distributed queueing games in interference-limited wireless networks.
Proceedings of IEEE International Conference on Communications, 2013

Robust MIMO cognitive radio systems under temperature interference constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013

Decomposition by partial linearization in multiuser systems.
Proceedings of the IEEE International Conference on Acoustics, 2013

Cooperative day-ahead bidding strategies for demand-side expected cost minimization.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Equilibrium selection in MIMO communication games.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

Day-ahead bidding strategies for demand-side expected cost minimization.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Equilibrium selection in power control games on the interference channel.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

2011
Robust MIMO Cognitive Radio Via Game Theory.
IEEE Trans. Signal Process., 2011

Nonconvex Games with Side Constraints.
SIAM J. Optim., 2011

Distributed dynamic pricing for MIMO interfering multiuser systems: A unified approach.
Proceedings of the 5th International Conference on NETwork Games, COntrol and OPtimization, 2011

2010
MIMO cognitive radio: a game theoretical approach.
IEEE Trans. Signal Process., 2010

Design of cognitive radio systems under temperature-interference constraints: a variational inequality approach.
IEEE Trans. Signal Process., 2010

Convex Optimization, Game Theory, and Variational Inequality Theory.
IEEE Signal Process. Mag., 2010

Robust cognitive radio via game theory.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Competitive optimization of cognitive radio MIMO systems via game theory.
Proceedings of the Convex Optimization in Signal Processing and Communications., 2010

2009
The MIMO iterative waterfilling algorithm.
IEEE Trans. Signal Process., 2009

Flexible design of cognitive radio wireless systems.
IEEE Signal Process. Mag., 2009

Distributed signal subspace projection algorithms with maximum convergence rate for sensor networks with topological constraints.
Proceedings of the IEEE International Conference on Acoustics, 2009

Competitive optimization of cognitive radio MIMO systems via game theory.
Proceedings of the 1st International Conference on Game Theory for Networks, 2009

2008
Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems Based on Game Theory - Part II: Algorithms.
IEEE Trans. Signal Process., 2008

Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory - Part I: Nash Equilibria.
IEEE Trans. Signal Process., 2008

Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Asymmetric Channels.
IEEE Trans. Signal Process., 2008

Distributed Consensus Over Wireless Sensor Networks Affected by Multipath Fading.
IEEE Trans. Signal Process., 2008

Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels.
IEEE Trans. Inf. Theory, 2008

Distributed Power Allocation With Rate Constraints in Gaussian Parallel Interference Channels.
IEEE Trans. Inf. Theory, 2008

Cognitive MIMO radio.
IEEE Signal Process. Mag., 2008

Physical-layer distributed synchronization in wireless networks and applications.
Phys. Commun., 2008

Competitive Design of Multiuser MIMO Systems Based on Game Theory: A Unified View.
IEEE J. Sel. Areas Commun., 2008

Cognitive MIMO Radio: A Competitive Optimality Design Based on Subspace Projections
CoRR, 2008

Asynchronous Iterative Waterfilling for Gaussian Frequency-Selective Interference Channels
CoRR, 2008

Competitive design of multiuser MIMO interference systems based on game theory: A unified framework.
Proceedings of the IEEE International Conference on Acoustics, 2008

The effect of additive noise on consensus achievement in wireless sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Decentralized Maximum-Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems.
IEEE Trans. Signal Process., 2007

Bio-Inspired Sensor Network Design.
IEEE Signal Process. Mag., 2007

Distributed Power Allocation with Rate Constraints in Gaussian Frequency-Selective Interference Channels
CoRR, 2007

Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Nonreciprocal Channels
CoRR, 2007

Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems based on Game Theory-Part I: Nash Equilibria
CoRR, 2007

Distributed Totally Asynchronous Iterative Waterfilling for Wideband Interference Channel with Time/Frequency Offset.
Proceedings of the IEEE International Conference on Acoustics, 2007

Achieving Consensus in Self-Organizing Wireless Sensor Networks: The Impact of Network Topology on Energy Consumption.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Simultaneous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Potential Games: A Framework for Vector Power Control Problems With Coupled Constraints.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Decentralized Detection and Localization Through Sensor Networks Designed As a Population of Self-Synchronizing Oscillators.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Global Stability of a Population of Mutually Coupled Oscillators Reaching Global ML Estimate Through a Decentralized Approach.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Distributed detection and estimation in decentralized sensor networks: An overview.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Distributed space-time coding for regenerative relay networks.
IEEE Trans. Wirel. Commun., 2005

2004
Distributed space-time coding for multihop networks.
Proceedings of IEEE International Conference on Communications, 2004

On the maximum achievable rates in wireless meshed networks: centralized versus decentralized solutions.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Distributed space-time coding strategies for wideband multihop networks: regenerative vs. non-regenerative relays.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Generalized water-filling for multiple transmit antenna systems.
Proceedings of IEEE International Conference on Communications, 2003

Concatenated space-time block coding with maximum diversity gain.
Proceedings of IEEE International Conference on Communications, 2003

Concatenated space-time coding with optimal trade-off between diversity and coding gains.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Cooperative diversity through virtual arrays in multihop networks.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
MUI-free CDMA systems incorporating space-time coding and channel shortening.
Proceedings of the IEEE International Conference on Acoustics, 2002

On the maximum common rate in multiple access channels.
Proceedings of the 11th European Signal Processing Conference, 2002


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