Federated Learning With Lossy Distributed Source Coding: Analysis and Optimization
Author:
Affiliation:
1. National Key Laboratory on Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China
2. Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong, China
Funder
General Program of National Natural Science Foundation of China
Sichuan Science and Technology Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/26/10219032/10129894.pdf?arnumber=10129894
Reference43 articles.
1. Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air
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3. Deep gradient compression: Reducing the communication bandwidth for distributed training;lin;arXiv 1712 01887,2017
4. Multiterminal source coding;tung,1978
5. QSGD: Communication-efficient SGD via gradient quantization and encoding;alistarh;Proc Adv NIPS,2017
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