A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization

20 February 2023

Papers citing "A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization"

7 / 7 papers shown

Title
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum Yuan Zhou Xinli Shi Xuelong Li Jiachen Zhong G. Wen Jinde Cao FedML 39 0 0 17 Apr 2025
Fully First-Order Methods for Decentralized Bilevel Optimization Xiaoyu Wang Xuxing Chen Shiqian Ma Tong Zhang 36 0 0 25 Oct 2024
Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex functions Siyuan Zhang Nachuan Xiao Xin Liu 55 1 0 18 Mar 2024
An Accelerated Distributed Stochastic Gradient Method with Momentum Kun-Yen Huang Shi Pu Angelia Nedić 9 8 0 15 Feb 2024
Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization Jiaxiang Li Xuxing Chen Shiqian Ma Mingyi Hong ODL 19 2 0 13 Feb 2024
Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex Optimization Zhenwei Lin Jingfan Xia Qi Deng Luo Luo 8 3 0 18 Oct 2023
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence Kun-Yen Huang Shin-Yi Pu 17 9 0 14 Jan 2023