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Fast decentralized non-convex finite-sum optimization with recursive
  variance reduction

Fast decentralized non-convex finite-sum optimization with recursive variance reduction

17 August 2020
Ran Xin
U. Khan
S. Kar
ArXivPDFHTML

Papers citing "Fast decentralized non-convex finite-sum optimization with recursive variance reduction"

11 / 11 papers shown
Title
Robust Decentralized Learning with Local Updates and Gradient Tracking
Robust Decentralized Learning with Local Updates and Gradient Tracking
Sajjad Ghiasvand
Amirhossein Reisizadeh
Mahnoosh Alizadeh
Ramtin Pedarsani
42
3
0
02 May 2024
Decentralized Sum-of-Nonconvex Optimization
Decentralized Sum-of-Nonconvex Optimization
Zhuanghua Liu
K. H. Low
21
0
0
04 Feb 2024
Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex
  Optimization
Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex Optimization
Zhenwei Lin
Jingfan Xia
Qi Deng
Luo Luo
31
3
0
18 Oct 2023
Convergence and Privacy of Decentralized Nonconvex Optimization with
  Gradient Clipping and Communication Compression
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression
Boyue Li
Yuejie Chi
21
12
0
17 May 2023
An Efficient Stochastic Algorithm for Decentralized
  Nonconvex-Strongly-Concave Minimax Optimization
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
Le‐Yu Chen
Haishan Ye
Luo Luo
68
5
0
05 Dec 2022
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with
  Communication Compression
BEER: Fast O(1/T)O(1/T)O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression
Haoyu Zhao
Boyue Li
Zhize Li
Peter Richtárik
Yuejie Chi
32
48
0
31 Jan 2022
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized
  Learning: Part I
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I
Jiaojiao Zhang
Huikang Liu
Anthony Man-Cho So
Qing Ling
24
14
0
19 Jan 2022
A Unified and Refined Convergence Analysis for Non-Convex Decentralized
  Learning
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning
Sulaiman A. Alghunaim
Kun Yuan
40
57
0
19 Oct 2021
Swarming for Faster Convergence in Stochastic Optimization
Swarming for Faster Convergence in Stochastic Optimization
Shi Pu
Alfredo García
37
16
0
11 Jun 2018
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems
Hoi-To Wai
Jean Lafond
Anna Scaglione
Eric Moulines
69
89
0
05 Dec 2016
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
93
737
0
19 Mar 2014
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