Gesualdo Scutari

ORCID

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 91

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

ACSSC

Publications

Marie Maros, Gesualdo Scutari
A Unified View of Decentralized Algorithms for Sparse Linear Regression. CAMSAP (2023)
Marie Maros, Gesualdo Scutari
Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence. NeurIPS (2023)
Vyacheslav Kungurtsev, Mahdi Morafah, Tara Javidi, Gesualdo Scutari
Decentralized Asynchronous Nonconvex Stochastic Optimization on Directed Graphs. IEEE Trans. Control. Netw. Syst. 10 (4) (2023)
Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa
Distributed (ATC) Gradient Descent for High Dimension Sparse Regression. IEEE Trans. Inf. Theory 69 (8) (2023)
Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander V. Gasnikov
Acceleration in Distributed Optimization under Similarity. AISTATS (2022)
Marie Maros, Gesualdo Scutari
Acceleration in Distributed Sparse Regression. NeurIPS (2022)
Ying Sun, Marie Maros, Gesualdo Scutari, Guang Cheng
High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees. CoRR (2022)
Marie Maros, Gesualdo Scutari
DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery. NeurIPS (2022)
Dmitry Kovalev, Aleksandr Beznosikov, Ekaterina Borodich, Alexander V. Gasnikov, Gesualdo Scutari
Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity. CoRR (2022)
Dmitry Kovalev, Aleksandr Beznosikov, Ekaterina Borodich, Alexander V. Gasnikov, Gesualdo Scutari
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity. NeurIPS (2022)
Francisco Facchinei, Vyacheslav Kungurtsev, Lorenzo Lampariello, Gesualdo Scutari
Diminishing stepsize methods for nonconvex composite problems via ghost penalties: from the general to the convex regular constrained case. Optim. Methods Softw. 37 (4) (2022)
Ying Sun, Gesualdo Scutari, Amir Daneshmand
Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation. SIAM J. Optim. 32 (2) (2022)
Nicolò Michelusi, Gesualdo Scutari, Chang-Shen Lee
Finite-Bit Quantization for Distributed Algorithms With Linear Convergence. IEEE Trans. Inf. Theory 68 (11) (2022)
Konstantinos Slavakis, Gaurav N. Shetty, Loris Cannelli, Gesualdo Scutari, Ukash Nakarmi, Leslie Ying
Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case. IEEE Trans. Computational Imaging 8 (2022)
Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari
Finite-Bit Quantization For Distributed Algorithms With Linear Convergence. CoRR (2021)
Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander V. Gasnikov
Acceleration in Distributed Optimization Under Similarity. CoRR (2021)
Loris Cannelli, Francisco Facchinei, Gesualdo Scutari, Vyacheslav Kungurtsev
Asynchronous Optimization Over Graphs: Linear Convergence Under Error Bound Conditions. IEEE Trans. Autom. Control. 66 (10) (2021)
Francisco Facchinei, Vyacheslav Kungurtsev, Lorenzo Lampariello, Gesualdo Scutari
Ghost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity. Math. Oper. Res. 46 (2) (2021)
Amir Daneshmand, Gesualdo Scutari, Pavel E. Dvurechensky, Alexander V. Gasnikov
Newton Method over Networks is Fast up to the Statistical Precision. ICML (2021)
Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander V. Gasnikov
Distributed Saddle-Point Problems Under Data Similarity. NeurIPS (2021)
Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander V. Gasnikov
Distributed Saddle-Point Problems Under Similarity. CoRR (2021)
Artem Agafonov, Pavel E. Dvurechensky, Gesualdo Scutari, Alexander V. Gasnikov, Dmitry Kamzolov, Aleksandr Lukashevich, Amir Daneshmand
An Accelerated Second-Order Method for Distributed Stochastic Optimization. CDC (2021)
Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari
Finite Rate Distributed Weight-Balancing and Average Consensus Over Digraphs. IEEE Trans. Autom. Control. 66 (10) (2021)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Blockwise Gradient Tracking. IEEE Trans. Autom. Control. 66 (5) (2021)
Amir Daneshmand, Gesualdo Scutari, Pavel E. Dvurechensky, Alexander V. Gasnikov
Newton Method over Networks is Fast up to the Statistical Precision. CoRR (2021)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis. IEEE Trans. Signal Process. 69 (2021)
Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa
Distributed Sparse Regression via Penalization. CoRR (2021)
Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. EUSIPCO (2020)
Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev
Second-Order Guarantees of Distributed Gradient Algorithms. SIAM J. Optim. 30 (4) (2020)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. AISTATS (2020)
Gaurav N. Shetty, Konstantinos Slavakis, Abhishek Bose, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. IEEE Trans. Medical Imaging 39 (3) (2020)
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, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures. IEEE Open J. Comput. Soc. 1 (2020)
Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari
Asynchronous parallel algorithms for nonconvex optimization. Math. Program. 184 (1) (2020)
Anthony Man-Cho So, Prateek Jain, Wing-Kin Ma, Gesualdo Scutari
Nonconvex Optimization for Signal Processing and Machine Learning [From the Guest Editors]. IEEE Signal Process. Mag. 37 (5) (2020)
Ye Tian, Ying Sun, Gesualdo Scutari
Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization. IEEE Trans. Autom. Control. 65 (12) (2020)
Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. CoRR (2020)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
A Unified Algorithmic Framework for Distributed Composite Optimization. CDC (2020)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis. CoRR (2020)
Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari
Finite rate distributed weight-balancing and average consensus over digraphs. CoRR (2019)
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, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures. CoRR (2019)
Ying Sun, Amir Daneshmand, Gesualdo Scutari
Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking. CoRR (2019)
Gesualdo Scutari, Ying Sun
Distributed nonconvex constrained optimization over time-varying digraphs. Math. Program. 176 (1-2) (2019)
Jinming Xu, Ying Sun, Ye Tian, Gesualdo Scutari
A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization. CAMSAP (2019)
Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler
Decentralized Dictionary Learning Over Time-Varying Digraphs. J. Mach. Learn. Res. 20 (2019)
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. CoRR (2019)
Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev
Second-order Guarantees of Gradient Algorithms over Networks. Allerton (2018)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging. CoRR (2018)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Block Communications. CoRR (2018)
Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari
Distributed Quantized Weight-Balancing and Average Consensus Over Digraphs. CDC (2018)
Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler
Decentralized Dictionary Learning Over Time-Varying Digraphs. CoRR (2018)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed Big-Data Optimization via Block-wise Gradient Tracking. CoRR (2018)
Ye Tian, Ying Sun, Bin Du, Gesualdo Scutari
ASY-SONATA: Achieving Geometric Convergence for Distributed Asynchronous Optimization. CoRR (2018)
Gaurav N. Shetty, Konstantinos Slavakis, Abhishek Bose, Ukash Nakarmi, Leslie Ying, Gesualdo Scutari
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. CoRR (2018)
Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev
Second-order Guarantees of Distributed Gradient Algorithms. CoRR (2018)
Gesualdo Scutari, Ying Sun
Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs. CoRR (2018)
Ye Tian, Ying Sun, Gesualdo Scutari
ASY-SONATA: Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization. Allerton (2018)
Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari
Finite Rate Quantized Distributed optimization with Geometric Convergence. ACSSC (2018)
Gesualdo Scutari, Ying Sun
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization. CoRR (2018)
Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari
Limited Rate Distributed Weight-Balancing and Average Consensus Over Digraphs. CoRR (2018)
Francisco Facchinei, Lorenzo Lampariello, Gesualdo Scutari
Feasible methods for nonconvex nonsmooth problems with applications in green communications. Math. Program. 164 (1-2) (2017)
Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari
Essentially cyclic asynchronous nonconvex large-scale optimization. SPAWC (2017)
Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari
Topology-agnostic average consensus in sensor networks with limited data rate. ACSSC (2017)
Aryan Mokhtari, Alec Koppel, Gesualdo Scutari, Alejandro Ribeiro
Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation. ICASSP (2017)
Ali Najdi Al-Shuwaili, Osvaldo Simeone, Alireza Bagheri, Gesualdo Scutari
Joint Uplink/Downlink Optimization for Backhaul-Limited Mobile Cloud Computing With User Scheduling. IEEE Trans. Signal Inf. Process. over Networks 3 (4) (2017)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed big-data optimization via block-iterative convexification and averaging. CDC (2017)
Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello, Stefania Sardellitti, Peiran Song
Parallel and Distributed Methods for Constrained Nonconvex Optimization-Part II: Applications in Communications and Machine Learning. IEEE Trans. Signal Process. 65 (8) (2017)
Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei
D2L: Decentralized dictionary learning over dynamic networks. ICASSP (2017)
Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari
Asynchronous parallel nonconvex large-scale optimization. ICASSP (2017)
Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello
Parallel and Distributed Methods for Constrained Nonconvex Optimization - Part I: Theory. IEEE Trans. Signal Process. 65 (8) (2017)
Loris Cannelli, Francisco Facchinei, Gesualdo Scutari
Multi-Agent asynchronous nonconvex large-scale optimization. CAMSAP (2017)
Ying Sun, Gesualdo Scutari
Distributed nonconvex optimization for sparse representation. ICASSP (2017)
Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano
Distributed big-data optimization via block communications. CAMSAP (2017)
Amir Daneshmand, Gesualdo Scutari, Francisco Facchinei
Distributed Dictionary Learning. CoRR (2016)
Zhangyu Guan, Tommaso Melodia, Gesualdo Scutari
To Transmit or Not to Transmit? Distributed Queueing Games in Infrastructureless Wireless Networks. IEEE/ACM Trans. Netw. 24 (2) (2016)
Ali Najdi Al-Shuwaili, Osvaldo Simeone, Alireza Bagheri, Gesualdo Scutari
Joint Uplink/Downlink Optimization for Backhaul-Limited Mobile Cloud Computing with User Scheduling. CoRR (2016)
Ying Sun, Gesualdo Scutari, Daniel Pérez Palomar
Distributed nonconvex multiagent optimization over time-varying networks. ACSSC (2016)
Ying Sun, Gesualdo Scutari
Distributed Nonconvex Optimization for Sparse Representation. CoRR (2016)
Loris Cannelli, Gesualdo Scutari, Francisco Facchinei, Vyacheslav Kungurtsev
Parallel asynchronous lock-free algorithms for nonconvex big-data optimization. ACSSC (2016)
Ying Sun, Gesualdo Scutari, Daniel P. Palomar
Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks. CoRR (2016)
Yang Yang, Gesualdo Scutari, Daniel P. Palomar, Marius Pesavento
A Parallel Decomposition Method for Nonconvex Stochastic Multi-Agent Optimization Problems. IEEE Trans. Signal Process. 64 (11) (2016)
Peiran Song, Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello
D3M: Distributed multi-cell multigroup multicasting. ICASSP (2016)
Paolo Di Lorenzo, Gesualdo Scutari
Distributed nonconvex optimization over time-varying networks. ICASSP (2016)
Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello, Peiran Song, Stefania Sardellitti
Parallel and Distributed Methods for Nonconvex Optimization-Part II: Applications. CoRR (2016)
Paolo Di Lorenzo, Gesualdo Scutari
NEXT: In-Network Nonconvex Optimization. CoRR (2016)
Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari
Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization: Model and Convergence. CoRR (2016)
Paolo Di Lorenzo, Gesualdo Scutari
NEXT: In-Network Nonconvex Optimization. IEEE Trans. Signal Inf. Process. over Networks 2 (2) (2016)
Amir Daneshmand, Gesualdo Scutari, Francisco Facchinei
Distributed dictionary learning. ACSSC (2016)
Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari
Hybrid Random/Deterministic Parallel Algorithms for Convex and Nonconvex Big Data Optimization. IEEE Trans. Signal Process. 63 (15) (2015)
Stefania Sardellitti, Gesualdo Scutari, Sergio Barbarossa
Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing. IEEE Trans. Signal Inf. Process. over Networks 1 (2) (2015)
Paolo Di Lorenzo, Gesualdo Scutari
Distributed nonconvex optimization over networks. CAMSAP (2015)
Francisco Facchinei, Gesualdo Scutari, Simone Sagratella
Parallel Selective Algorithms for Nonconvex Big Data Optimization. IEEE Trans. Signal Process. 63 (7) (2015)
Alberth Alvarado, Gesualdo Scutari, Jong-Shi Pang
A New Decomposition Method for Multiuser DC-Programming and Its Applications. IEEE Trans. Signal Process. 62 (11) (2014)
Gesualdo Scutari, Francisco Facchinei, Peiran Song, Daniel P. Palomar, Jong-Shi Pang
Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems. IEEE Trans. Signal Process. 62 (3) (2014)
Italo Atzeni, Luis Garcia Ordóñez, Gesualdo Scutari, Daniel P. Palomar, Javier Rodríguez Fonollosa
Noncooperative Day-Ahead Bidding Strategies for Demand-Side Expected Cost Minimization With Real-Time Adjustments: A GNEP Approach. IEEE Trans. Signal Process. 62 (9) (2014)
Francisco Facchinei, Simone Sagratella, Gesualdo Scutari
Parallel Algorithms for Big Data Optimization. CoRR (2014)
Gesualdo Scutari, Francisco Facchinei, Jong-Shi Pang, Daniel P. Palomar
Real and Complex Monotone Communication Games. IEEE Trans. Inf. Theory 60 (7) (2014)
Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari
Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization. CoRR (2014)
Francisco Facchinei, Jong-Shi Pang, Gesualdo Scutari, Lorenzo Lampariello
VI-constrained hemivariational inequalities: distributed algorithms and power control in ad-hoc networks. Math. Program. 145 (1-2) (2014)
Stefania Sardellitti, Gesualdo Scutari, Sergio Barbarossa
Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing. CoRR (2014)
Francisco Facchinei, Jong-Shi Pang, Gesualdo Scutari
Non-cooperative games with minmax objectives. Comput. Optim. Appl. 59 (1-2) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gesualdo Scutari