Scaling-up Distributed Processing of Data Streams for Machine Learning

18 May 2020

Papers citing "Scaling-up Distributed Processing of Data Streams for Machine Learning"

6 / 6 papers shown

Title
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression Boyue Li Yuejie Chi 26 12 0 17 May 2023
A Linearly Convergent Algorithm for Distributed Principal Component Analysis Arpita Gang W. Bajwa 33 24 0 05 Jan 2021
Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang Wu-Jun Li FedML 29 5 0 02 Mar 2020
Gradient tracking and variance reduction for decentralized optimization and machine learning Ran Xin S. Kar U. Khan 19 10 0 13 Feb 2020
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
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 182 683 0 07 Dec 2010