Decentralized exact coupled optimization. - Sulaiman A. Alghunaim; Kun Yuan 001; Ali H. Sayed (Allerton, 2017)

Diffusion LMS filter for distributed estimation of systems with stochastic state transition and observation matrices. - João Y. Ishihara; Sulaiman A. Alghunaim (ACC, 2017)

Dual Coupled Diffusion for Distributed Optimization with Affine Constraints. - Sulaiman A. Alghunaim; Kun Yuan 001; Ali H. Sayed (CDC, 2018)

Distributed Coupled Learning Over Adaptive Networks. - Sulaiman A. Alghunaim; Ali H. Sayed (ICASSP, 2018)

On the Performance of Exact Diffusion over Adaptive Networks. - Kun Yuan 001; Sulaiman A. Alghunaim; Bicheng Ying; Ali H. Sayed (CDC, 2019)

Team Policy Learning for Multi-agent Reinforcement Learning. - Lucas Cassano; Sulaiman A. Alghunaim; Ali H. Sayed (ICASSP, 2019)

A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization. - Sulaiman A. Alghunaim; Kun Yuan 001; Ali H. Sayed (NeurIPS, 2019)

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features. - Sulaiman A. Alghunaim; Ming Yan 006; Ali H. Sayed (EUSIPCO, 2020)

Linear convergence of primal-dual gradient methods and their performance in distributed optimization. - Sulaiman A. Alghunaim; Ali H. Sayed (Autom., 2020)

Distributed Coupled Multiagent Stochastic Optimization. - Sulaiman A. Alghunaim; Ali H. Sayed (IEEE Trans. Autom. Control., 2020)

A Proximal Diffusion Strategy for Multiagent Optimization With Sparse Affine Constraints. - Sulaiman A. Alghunaim; Kun Yuan 001; Ali H. Sayed (IEEE Trans. Autom. Control., 2020)

On the Influence of Bias-Correction on Distributed Stochastic Optimization. - Kun Yuan 001; Sulaiman A. Alghunaim; Bicheng Ying; Ali H. Sayed (IEEE Trans. Signal Process., 2020)

Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD. - Kun Yuan 001; Sulaiman A. Alghunaim (CoRR, 2021)

Decentralized Proximal Gradient Algorithms With Linear Convergence Rates. - Sulaiman A. Alghunaim; Ernest K. Ryu; Kun Yuan 001; Ali H. Sayed (IEEE Trans. Autom. Control., 2021)

Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems. - Sulaiman A. Alghunaim; Qi Lyu; Ming Yan 006; Ali H. Sayed (IEEE Trans. Signal Process., 2021)

A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning. - Sulaiman A. Alghunaim; Kun Yuan 001 (IEEE Trans. Signal Process., 2022)

On the Performance of Gradient Tracking with Local Updates. - Edward Duc Hien Nguyen; Sulaiman A. Alghunaim; Kun Yuan 001; César A. Uribe (CDC, 2023)

Achieving Linear Speedup with Network-Independent Learning Rates in Decentralized Stochastic Optimization. - Hao Yuan; Sulaiman A. Alghunaim; Kun Yuan 001 (CDC, 2023)

RandCom: Random Communication Skipping Method for Decentralized Stochastic Optimization. - Luyao Guo; Sulaiman A. Alghunaim; Kun Yuan 001; Laurent Condat; Jinde Cao (CoRR, 2023)

Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD. - Kun Yuan 001; Sulaiman A. Alghunaim; Xinmeng Huang (J. Mach. Learn. Res., 2023)

Diffusion Optimistic Learning for Min-Max Optimization. - H. Cai; Sulaiman A. Alghunaim; Ali H. Sayed (ICASSP, 2024)

Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentum. - Haoyuan Cai; Sulaiman A. Alghunaim; Ali H. Sayed (CoRR, 2024)

An enhanced gradient-tracking bound for distributed online stochastic convex optimization. - Sulaiman A. Alghunaim; Kun Yuan 001 (Signal Process., 2024)

Local Exact-Diffusion for Decentralized Optimization and Learning. - Sulaiman A. Alghunaim (IEEE Trans. Autom. Control., 2024)

Diffusion Stochastic Optimization for Min-Max Problems. - Haoyuan Cai; Sulaiman A. Alghunaim; Ali H. Sayed (IEEE Trans. Signal Process., 2025)