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ORCIDSulaiman A. Alghunaim
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2020 – today
- 2024
[j9]Sulaiman A. Alghunaim
, Kun Yuan:
An enhanced gradient-tracking bound for distributed online stochastic convex optimization. Signal Process. 217: 109345 (2024)- [c11]H. Cai, Sulaiman A. Alghunaim, Ali H. Sayed:
Diffusion Optimistic Learning for Min-Max Optimization. ICASSP 2024: 5535-5539 - [i9]Haoyuan Cai, Sulaiman A. Alghunaim, Ali H. Sayed:
Diffusion Stochastic Optimization for Min-Max Problems. CoRR abs/2401.14585 (2024) - [i8]Haoyuan Cai, Sulaiman A. Alghunaim, Ali H. Sayed:
Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentum. CoRR abs/2406.13041 (2024) - 2023
- [j8]Kun Yuan, Sulaiman A. Alghunaim, Xinmeng Huang:
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD. J. Mach. Learn. Res. 24: 280:1-280:53 (2023) - [c10]Hao Yuan, Sulaiman A. Alghunaim, Kun Yuan:
Achieving Linear Speedup with Network-Independent Learning Rates in Decentralized Stochastic Optimization. CDC 2023: 139-144 - [c9]Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan, César A. Uribe:
On the Performance of Gradient Tracking with Local Updates. CDC 2023: 4309-4313 - [i7]Luyao Guo, Sulaiman A. Alghunaim, Kun Yuan, Laurent Condat, Jinde Cao:
RandCom: Random Communication Skipping Method for Decentralized Stochastic Optimization. CoRR abs/2310.07983 (2023) - 2022
- [j7]Sulaiman A. Alghunaim, Kun Yuan:
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning. IEEE Trans. Signal Process. 70: 3264-3279 (2022) - [i6]Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan, César A. Uribe:
On the Performance of Gradient Tracking with Local Updates. CoRR abs/2210.04757 (2022) - 2021
- [j6]Sulaiman A. Alghunaim, Ernest K. Ryu, Kun Yuan, Ali H. Sayed:
Decentralized Proximal Gradient Algorithms With Linear Convergence Rates. IEEE Trans. Autom. Control. 66(6): 2787-2794 (2021) - [j5]Sulaiman A. Alghunaim, Qi Lyu, Ming Yan, Ali H. Sayed:
Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems. IEEE Trans. Signal Process. 69: 5568-5579 (2021) - [i5]Kun Yuan, Sulaiman A. Alghunaim:
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD. CoRR abs/2105.08023 (2021) - [i4]Sulaiman A. Alghunaim, Kun Yuan:
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning. CoRR abs/2110.09993 (2021) - 2020
- [j4]Sulaiman A. Alghunaim, Ali H. Sayed:
Linear convergence of primal-dual gradient methods and their performance in distributed optimization. Autom. 117: 109003 (2020) - [j3]Sulaiman A. Alghunaim, Ali H. Sayed:
Distributed Coupled Multiagent Stochastic Optimization. IEEE Trans. Autom. Control. 65(1): 175-190 (2020) - [j2]Sulaiman A. Alghunaim, Kun Yuan, Ali H. Sayed:
A Proximal Diffusion Strategy for Multiagent Optimization With Sparse Affine Constraints. IEEE Trans. Autom. Control. 65(11): 4554-4567 (2020) - [j1]Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed:
On the Influence of Bias-Correction on Distributed Stochastic Optimization. IEEE Trans. Signal Process. 68: 4352-4367 (2020) - [c8]Sulaiman A. Alghunaim, Ming Yan, Ali H. Sayed:
A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features. EUSIPCO 2020: 2095-2099 - [i3]Sulaiman A. Alghunaim, Ming Yan, Ali H. Sayed:
A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features. CoRR abs/2006.08722 (2020)
2010 – 2019
- 2019
- [c7]Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed:
On the Performance of Exact Diffusion over Adaptive Networks. CDC 2019: 4898-4903 - [c6]Lucas Cassano, Sulaiman A. Alghunaim, Ali H. Sayed:
Team Policy Learning for Multi-agent Reinforcement Learning. ICASSP 2019: 3062-3066 - [c5]Sulaiman A. Alghunaim, Kun Yuan, Ali H. Sayed:
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization. NeurIPS 2019: 2844-2854 - [i2]Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed:
On the Performance of Exact Diffusion over Adaptive Networks. CoRR abs/1903.10956 (2019) - [i1]Sulaiman A. Alghunaim, Kun Yuan, Ali H. Sayed:
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization. CoRR abs/1905.07996 (2019) - 2018
- [c4]Sulaiman A. Alghunaim, Kun Yuan, Ali H. Sayed:
Dual Coupled Diffusion for Distributed Optimization with Affine Constraints. CDC 2018: 829-834 - [c3]Sulaiman A. Alghunaim, Ali H. Sayed:
Distributed Coupled Learning Over Adaptive Networks. ICASSP 2018: 6353-6357 - 2017
- [c2]Sulaiman A. Alghunaim, Kun Yuan, Ali H. Sayed:
Decentralized exact coupled optimization. Allerton 2017: 338-345 - [c1]João Y. Ishihara, Sulaiman A. Alghunaim:
Diffusion LMS filter for distributed estimation of systems with stochastic state transition and observation matrices. ACC 2017: 5199-5204
Coauthor Index
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