AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning

Author:

Yan Guangfeng1ORCID,Li Tan1ORCID,Huang Shao-Lun2ORCID,Lan Tian3ORCID,Song Linqi1ORCID

Affiliation:

1. Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong

2. Data Science and Information Technology Research Center, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China

3. Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA

Funder

Hong Kong Research Grants Council

Technological Breakthrough Project of Science, Technology and Innovation Commission of Shenzhen Municipality

InnoHK Initiative, the Government of the Hong Kong Special Administrative Region (HKSAR), and the Laboratory for AI-Powered Financial Technologies

City University of Hong Kong Strategic Research Grant

Tencent AI Laboratory Rhino-Bird Gift Fund

Shenzhen Science and Technology Program

National Key Research and Development Program of China

High-End Foreign Expert Talent Introduction Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Reference39 articles.

1. FastText.Zip: Compressing text classification models;joulin;arXiv 1612 03651,2016

2. Deep Residual Learning for Image Recognition

3. On biased compression for distributed learning;beznosikov;arXiv 2002 12410,2020

4. Convex Optimization

5. DoubleSqueeze: Parallel stochastic gradient descent with double-pass error-compensated compression;tang;Proc Int Conf Mach Learn,2019

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles;ACM Transactions on Autonomous and Adaptive Systems;2024-08-31

2. Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference;IEEE Transactions on Wireless Communications;2024-08

3. Vertical Federated Learning: Concepts, Advances, and Challenges;IEEE Transactions on Knowledge and Data Engineering;2024-07

4. Adaptively Compressed Swarm Learning for Distributed Traffic Prediction over IoV-Web3.0;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

5. An efficient bandwidth-adaptive gradient compression algorithm for distributed training of deep neural networks;Journal of Systems Architecture;2024-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3