Sulaiman A. Alghunaim

Orcid: 0000-0001-5212-7474

According to our database1, Sulaiman A. Alghunaim authored at least 21 papers between 2017 and 2024.

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

Awards

IEEE Fellow

IEEE Fellow 1989, "For leadership in international organizations to advance telecommunication development in Third World Countries".

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An enhanced gradient-tracking bound for distributed online stochastic convex optimization.
Signal Process., April, 2024

Diffusion Stochastic Optimization for Min-Max Problems.
CoRR, 2024

2023
RandCom: Random Communication Skipping Method for Decentralized Stochastic Optimization.
CoRR, 2023

Achieving Linear Speedup with Network-Independent Learning Rates in Decentralized Stochastic Optimization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

On the Performance of Gradient Tracking with Local Updates.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning.
IEEE Trans. Signal Process., 2022

2021
Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems.
IEEE Trans. Signal Process., 2021

Decentralized Proximal Gradient Algorithms With Linear Convergence Rates.
IEEE Trans. Autom. Control., 2021

Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD.
CoRR, 2021

2020
On the Influence of Bias-Correction on Distributed Stochastic Optimization.
IEEE Trans. Signal Process., 2020

A Proximal Diffusion Strategy for Multiagent Optimization With Sparse Affine Constraints.
IEEE Trans. Autom. Control., 2020

Distributed Coupled Multiagent Stochastic Optimization.
IEEE Trans. Autom. Control., 2020

Linear convergence of primal-dual gradient methods and their performance in distributed optimization.
Autom., 2020

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Team Policy Learning for Multi-agent Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

On the Performance of Exact Diffusion over Adaptive Networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Distributed Coupled Learning Over Adaptive Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Dual Coupled Diffusion for Distributed Optimization with Affine Constraints.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Diffusion LMS filter for distributed estimation of systems with stochastic state transition and observation matrices.
Proceedings of the 2017 American Control Conference, 2017

Decentralized exact coupled optimization.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017


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