Efficient Distributed SGD with Variance Reduction

9 December 2015

Papers citing "Efficient Distributed SGD with Variance Reduction"

7 / 7 papers shown

Title
Federated Stochastic Gradient Langevin Dynamics Khaoula El Mekkaoui Diego Mesquita P. Blomstedt Samuel Kaski FedML 37 24 0 23 Apr 2020
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks Zhaoxian Wu Qing Ling Tianyi Chen G. Giannakis FedML AAML 32 181 0 29 Dec 2019
Variance-Reduced Stochastic Learning under Random Reshuffling Bicheng Ying Kun Yuan Ali H. Sayed 33 13 0 04 Aug 2017
Collaborative Deep Learning in Fixed Topology Networks Zhanhong Jiang Aditya Balu Chinmay Hegde Soumik Sarkar FedML 32 179 0 23 Jun 2017
Big Batch SGD: Automated Inference using Adaptive Batch Sizes Soham De A. Yadav David Jacobs Tom Goldstein ODL 37 62 0 18 Oct 2016
SCOPE: Scalable Composite Optimization for Learning on Spark Shen-Yi Zhao Ru Xiang Yinghuan Shi Peng Gao Wu-Jun Li 32 16 0 30 Jan 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014