A fast randomized incremental gradient method for decentralized non-convex optimization

7 November 2020

Papers citing "A fast randomized incremental gradient method for decentralized non-convex optimization"

9 / 9 papers shown

Title
Distributed Random Reshuffling Methods with Improved Convergence Kun-Yen Huang Linli Zhou Shi Pu 24 4 0 21 Jun 2023
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression Boyue Li Yuejie Chi 26 12 0 17 May 2023
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression Haoyu Zhao Boyue Li Zhize Li Peter Richtárik Yuejie Chi 34 49 0 31 Jan 2022
Distributed Random Reshuffling over Networks Kun-Yen Huang Xiao Li Andre Milzarek Shi Pu Junwen Qiu 39 11 0 31 Dec 2021
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization Ran Xin U. Khan S. Kar 20 39 0 12 Feb 2021
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems Hoi-To Wai Jean Lafond Anna Scaglione Eric Moulines 69 90 0 05 Dec 2016
Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate Aryan Mokhtari Mert Gurbuzbalaban Alejandro Ribeiro 35 36 0 01 Nov 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 139 1,204 0 16 Aug 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014