Distributed Learning with Sublinear Communication

28 February 2019

Papers citing "Distributed Learning with Sublinear Communication"

10 / 10 papers shown

Title
Fundamental Limits of Distributed Optimization over Multiple Access Channel Shubham K. Jha 36 1 0 05 Oct 2023
Distributed Sparse Linear Regression under Communication Constraints R. Fonseca B. Nadler FedML 21 2 0 09 Jan 2023
Recovery Guarantees for Distributed-OMP Chen Amiraz Robert Krauthgamer B. Nadler 41 0 0 15 Sep 2022
Fundamental limits of over-the-air optimization: Are analog schemes optimal? Shubham K. Jha Prathamesh Mayekar Himanshu Tyagi 29 7 0 11 Sep 2021
Coded Gradient Aggregation: A Tradeoff Between Communication Costs at Edge Nodes and at Helper Nodes B. Sasidharan Anoop Thomas 28 9 0 06 May 2021
On the Utility of Gradient Compression in Distributed Training Systems Saurabh Agarwal Hongyi Wang Shivaram Venkataraman Dimitris Papailiopoulos 41 46 0 28 Feb 2021
MixML: A Unified Analysis of Weakly Consistent Parallel Learning Yucheng Lu J. Nash Christopher De Sa FedML 37 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 27 47 0 12 Nov 2019
RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization Prathamesh Mayekar Himanshu Tyagi MQ 35 48 0 22 Aug 2019
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 186 683 0 07 Dec 2010