Energy-Efficient Federated Edge Learning with Joint Communication and Computation Design

Author:

Mo Xiaopeng1,Xu Jie2

Affiliation:

1. School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China

2. School of Science and Engineering, the Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Cited by 84 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. FedUC: A Unified Clustering Approach for Hierarchical Federated Learning;IEEE Transactions on Mobile Computing;2024-10

2. Distributed Learning in Intelligent Transportation Systems: A Survey;Information;2024-09-08

3. Energy-Aware Federated Learning for AQI Pollutants Forecasting in Edge Networks;IEEE Transactions on Network Science and Engineering;2024-09

4. Federated Edge Learning with Blurred or Pseudo Data Sharing;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

5. Communication Efficient Compressed and Accelerated Federated Learning in Open RAN Intelligent Controllers;IEEE/ACM Transactions on Networking;2024-08

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