Strategies and Principles of Distributed Machine Learning on Big Data

31 December 2015

Papers citing "Strategies and Principles of Distributed Machine Learning on Big Data"

9 / 9 papers shown

Title
A Survey From Distributed Machine Learning to Distributed Deep Learning Mohammad Dehghani Zahra Yazdanparast 15 0 0 11 Jul 2023
Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training W. Tan Xiao Shi Cunchi Lv Xiaofang Zhao FedML 20 1 0 09 Mar 2023
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey Djamila Bouhata Hamouma Moumen Moumen Hamouma Ahcène Bounceur AI4CE 25 7 0 05 May 2022
Distributed data analytics Richard Mortier Hamed Haddadi S. S. Rodríguez Liang Wang 21 2 0 26 Mar 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms Pranay Sharma Rohan Panda Gauri Joshi P. Varshney FedML 21 46 0 09 Mar 2022
Differentially Private ADMM for Distributed Medical Machine Learning Jiahao Ding Xiaoqi Qin Wenjun Xu Yanmin Gong Zhu Han M. Pan FedML 16 20 0 07 Jan 2019
Probabilistic Synchronous Parallel Liang Wang Ben Catterall Richard Mortier 16 16 0 22 Sep 2017
Deep Learning in the Automotive Industry: Applications and Tools André Luckow M. Cook Nathan Ashcraft Edwin Weill Emil Djerekarov Bennie Vorster 12 116 0 30 Apr 2017
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs Jun Zhu Ning Chen Eric P. Xing BDL 65 157 0 05 Oct 2012