Two-Timescale Energy Optimization for Wireless Federated Learning
Author:
Affiliation:
1. School of Electronic and Information Engineering, South China University of Technology,Guangzhou,China
2. Cornell Tech, Cornell University,Department of Electrical and Computer Engineering,NY,USA,10044
Funder
National Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10620660/10620661/10620777.pdf?arnumber=10620777
Reference14 articles.
1. Communication-Efficient Learning of Deep Networks from Decentralized Data;McMahan,2017
2. Toward Communication-Efficient Federated Learning in the Internet of Things With Edge Computing
3. Joint Gradient Sparsification and Device Scheduling for Federated Learning
4. Split Learning Over Wireless Networks: Parallel Design and Resource Management
5. Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning
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