Distributed Learning with Sublinear Communication

28 February 2019

Papers citing "Distributed Learning with Sublinear Communication"

6 / 6 papers shown

Title
Fundamental limits of over-the-air optimization: Are analog schemes optimal? Shubham K. Jha Prathamesh Mayekar Himanshu Tyagi 22 7 0 11 Sep 2021
Coded Gradient Aggregation: A Tradeoff Between Communication Costs at Edge Nodes and at Helper Nodes B. Sasidharan Anoop Thomas 23 9 0 06 May 2021
On the Utility of Gradient Compression in Distributed Training Systems Saurabh Agarwal Hongyi Wang Shivaram Venkataraman Dimitris Papailiopoulos 23 46 0 28 Feb 2021
MixML: A Unified Analysis of Weakly Consistent Parallel Learning Yucheng Lu J. Nash Christopher De Sa FedML 11 12 0 14 May 2020
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning XINYAN DAI Xiao Yan Kaiwen Zhou Han Yang K. K. Ng James Cheng Yu Fan FedML 6 47 0 12 Nov 2019
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 168 683 0 07 Dec 2010