Sulaiman A. Alghunaim
Sulaiman A. Alghunaim
Kuwait University
Zweryfikowany adres z ucla.edu
Tytuł
Cytowane przez
Cytowane przez
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A linearly convergent proximal gradient algorithm for decentralized optimization
S Alghunaim, K Yuan, AH Sayed
Advances in Neural Information Processing Systems, 2844-2854, 2019
392019
Decentralized proximal gradient algorithms with linear convergence rates
SA Alghunaim, EK Ryu, K Yuan, AH Sayed
IEEE Transactions on Automatic Control 66 (6), 2787-2794, 2020
322020
Distributed coupled multiagent stochastic optimization
SA Alghunaim, AH Sayed
IEEE Transactions on Automatic Control 65 (1), 175-190, 2019
232019
On the influence of bias-correction on distributed stochastic optimization
K Yuan, SA Alghunaim, B Ying, AH Sayed
IEEE Transactions on Signal Processing 68, 4352-4367, 2020
162020
On the performance of exact diffusion over adaptive networks
K Yuan, SA Alghunaim, B Ying, AH Sayed
2019 IEEE 58th Conference on Decision and Control (CDC), 4898-4903, 2019
142019
Linear convergence of primal-dual gradient methods and their performance in distributed optimization
SA Alghunaim, AH Sayed
Automatica 117, 2020
122020
A proximal diffusion strategy for multiagent optimization with sparse affine constraints
SA Alghunaim, K Yuan, AH Sayed
IEEE Transactions on Automatic Control 65 (11), 4554-4567, 2019
92019
Dual coupled diffusion for distributed optimization with affine constraints
SA Alghunaim, K Yuan, AH Sayed
2018 IEEE Conference on Decision and Control (CDC), 829-834, 2018
92018
Decentralized exact coupled optimization
SA Alghunaim, K Yuan, AH Sayed
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
82017
Team Policy Learning for Multi-agent Reinforcement Learning
L Cassano, SA Alghunaim, AH Sayed
2019 IEEE International Conference on Acoustics, Speech and Signal …, 2019
42019
Distributed coupled learning over adaptive networks
SA Alghunaim, AH Sayed
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
42018
Diffusion LMS filter for distributed estimation of systems with stochastic state transition and observation matrices
JY Ishihara, SA Alghunaim
2017 American Control Conference (ACC), 5199-5204, 2017
32017
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD
K Yuan, SA Alghunaim
arXiv preprint arXiv:2105.08023, 2021
12021
A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features
SA Alghunaim, M Yan, AH Sayed
2020 28th European Signal Processing Conference (EUSIPCO), 2095-2099, 2021
12021
Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems
SA Alghunaim, Q Lyu, M Yan, AH Sayed
IEEE Transactions on Signal Processing, 2021
2021
On the Performance and Linear Convergence of Decentralized Primal-Dual Methods
SA Alghunaim
University of California, Los Angeles, 2020
2020
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