3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning

21 February 2018

Papers citing "3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning"

11 / 11 papers shown

Title
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey Feng Liang Zhen Zhang Haifeng Lu Victor C. M. Leung Yanyi Guo Xiping Hu GNN 37 6 0 09 Apr 2024
Correlated Quantization for Faster Nonconvex Distributed Optimization Andrei Panferov Yury Demidovich Ahmad Rammal Peter Richtárik MQ 47 4 0 10 Jan 2024
Enhancing Efficiency in Multidevice Federated Learning through Data Selection Fan Mo Mohammad Malekzadeh S. Chatterjee F. Kawsar Akhil Mathur FedML 38 2 0 08 Nov 2022
L-GreCo: Layerwise-Adaptive Gradient Compression for Efficient and Accurate Deep Learning Mohammadreza Alimohammadi I. Markov Elias Frantar Dan Alistarh 35 5 0 31 Oct 2022
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory Nicole Mitchell Johannes Ballé Zachary B. Charles Jakub Konecný FedML 19 21 0 07 Jan 2022
FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning Keyu Yang Lu Chen Zhihao Zeng Yunjun Gao 23 9 0 08 Dec 2021
Is Network the Bottleneck of Distributed Training? Zhen Zhang Chaokun Chang Yanghua Peng Yida Wang R. Arora Xin Jin 25 70 0 17 Jun 2020
Communication optimization strategies for distributed deep neural network training: A survey Shuo Ouyang Dezun Dong Yemao Xu Liquan Xiao 30 12 0 06 Mar 2020
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning Aritra Dutta El Houcine Bergou A. Abdelmoniem Chen-Yu Ho Atal Narayan Sahu Marco Canini Panos Kalnis 33 77 0 19 Nov 2019
Taming Momentum in a Distributed Asynchronous Environment Ido Hakimi Saar Barkai Moshe Gabel Assaf Schuster 19 23 0 26 Jul 2019
Natural Compression for Distributed Deep Learning Samuel Horváth Chen-Yu Ho L. Horvath Atal Narayan Sahu Marco Canini Peter Richtárik 21 151 0 27 May 2019