Sulaiman A. Alghunaim

IEEE Trans. Autom. Control., November, 2024

An enhanced gradient-tracking bound for distributed online stochastic convex optimization.

[BibT_eX]

[DOI]

Signal Process., April, 2024

Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentum.

[BibT_eX]

[DOI]

Haoyuan Cai

CoRR, 2024

Diffusion Stochastic Optimization for Min-Max Problems.

[BibT_eX]

[DOI]

Haoyuan Cai

CoRR, 2024

Diffusion Optimistic Learning for Min-Max Optimization.

[BibT_eX]

[DOI]

H. Cai

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

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

[BibT_eX]

[DOI]

Xinmeng Huang

J. Mach. Learn. Res., 2023

RandCom: Random Communication Skipping Method for Decentralized Stochastic Optimization.

[BibT_eX]

[DOI]

Luyao Guo

Laurent Condat

Jinde Cao

CoRR, 2023

Achieving Linear Speedup with Network-Independent Learning Rates in Decentralized Stochastic Optimization.

[BibT_eX]

[DOI]

Hao Yuan

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

On the Performance of Gradient Tracking with Local Updates.

[BibT_eX]

[DOI]

Edward Duc Hien Nguyen

César A. Uribe

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

2021

Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems.

[BibT_eX]

[DOI]

Qi Lyu

Ming Yan

IEEE Trans. Signal Process., 2021

Decentralized Proximal Gradient Algorithms With Linear Convergence Rates.

[BibT_eX]

[DOI]

Ernest K. Ryu

IEEE Trans. Autom. Control., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

2020

On the Influence of Bias-Correction on Distributed Stochastic Optimization.

[BibT_eX]

[DOI]

Bicheng Ying

IEEE Trans. Signal Process., 2020

A Proximal Diffusion Strategy for Multiagent Optimization With Sparse Affine Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Distributed Coupled Multiagent Stochastic Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

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

[BibT_eX]

[DOI]

Autom., 2020

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features.

[BibT_eX]

[DOI]

Ming Yan

Proceedings of the 28th European Signal Processing Conference, 2020

2019

A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Lucas Cassano

Proceedings of the IEEE International Conference on Acoustics, 2019

On the Performance of Exact Diffusion over Adaptive Networks.

[BibT_eX]

[DOI]

Bicheng Ying

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Distributed Coupled Learning Over Adaptive Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Dual Coupled Diffusion for Distributed Optimization with Affine Constraints.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

João Y. Ishihara

Proceedings of the 2017 American Control Conference, 2017

Decentralized exact coupled optimization.

[BibT_eX]

[DOI]