Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach

13 October 2019

Papers citing "Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach"

4 / 4 papers shown

Title
Achieving Linear Speedup in Decentralized Stochastic Compositional Minimax Optimization Hongchang Gao 40 1 0 25 Jul 2023
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks Zhuqing Liu Xin Zhang Prashant Khanduri Songtao Lu Jia Liu 35 11 0 27 Jul 2022
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
MARINA: Faster Non-Convex Distributed Learning with Compression Eduard A. Gorbunov Konstantin Burlachenko Zhize Li Peter Richtárik 39 109 0 15 Feb 2021