Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication

25 May 2018

Papers citing "Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication"

8 / 8 papers shown

Title
Decentralized Sum-of-Nonconvex Optimization Zhuanghua Liu K. H. Low 13 0 0 04 Feb 2024
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression Xiaoyun Li Ping Li FedML 32 4 0 25 Nov 2022
Explicit Second-Order Min-Max Optimization Methods with Optimal Convergence Guarantee Tianyi Lin P. Mertikopoulos Michael I. Jordan 24 11 0 23 Oct 2022
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed Hanlin Tang Shaoduo Gan A. A. Awan Samyam Rajbhandari Conglong Li Xiangru Lian Ji Liu Ce Zhang Yuxiong He AI4CE 37 84 0 04 Feb 2021
PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction Haishan Ye Wei Xiong Tong Zhang 16 16 0 30 Dec 2020
Gradient tracking and variance reduction for decentralized optimization and machine learning Ran Xin S. Kar U. Khan 16 10 0 13 Feb 2020
A Decentralized Proximal Point-type Method for Saddle Point Problems Weijie Liu Aryan Mokhtari Asuman Ozdaglar S. Pattathil Zebang Shen Nenggan Zheng 59 30 0 31 Oct 2019
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling Jianyu Wang Anit Kumar Sahu Zhouyi Yang Gauri Joshi S. Kar 21 159 0 23 May 2019