FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing
Author:
Affiliation:
1. School of Automation, Guangdong University of Technology,Guangzhou,China
2. University of Houston,Department of Electrical and Computer Engineering,Houston,USA
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685582.pdf?arnumber=9685582
Reference21 articles.
1. Towards energy efficient federated learning over 5g+ mobile devices;shi;ArXiv Preprint,2021
2. Toward Resource-Efficient Federated Learning in Mobile Edge Computing
3. Qsgd: Communication-efficient sgd via gradient quantization and encoding;alistarh;NeurIPS,0
4. Federated learning: Strategies for improving communication efficiency;konecny;ArXiv Preprint,2016
5. A Learning-Based Incentive Mechanism for Federated Learning
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