Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis

25 February 2020

Papers citing "Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis"

7 / 7 papers shown

Title
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach Colin Dirren Mattia Bianchi Panagiotis D. Grontas John Lygeros Florian Dorfler 36 0 0 18 Oct 2024
Distributed Random Reshuffling Methods with Improved Convergence Kun-Yen Huang Linli Zhou Shi Pu 24 4 0 21 Jun 2023
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization Tesi Xiao Xuxing Chen Krishnakumar Balasubramanian Saeed Ghadimi 36 10 0 20 Feb 2023
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence Kun-Yen Huang Shin-Yi Pu 35 9 0 14 Jan 2023
Differentially Private Decentralized Optimization with Relay Communication Luqing Wang Luyao Guo Shaofu Yang Xinli Shi 13 0 0 21 Dec 2022
The END: Estimation Network Design for games under partial-decision information M. Bianchi Sergio Grammatico 16 4 0 24 Aug 2022
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning Sulaiman A. Alghunaim Kun Yuan 25 57 0 19 Oct 2021