Communication-Efficient Federated Learning For Massive MIMO Systems
Author:
Affiliation:
1. The University of Edinburgh,School of Engineering,Edinburgh,UK
Funder
Engineering and Physical Sciences Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9771381/9771540/09771851.pdf?arnumber=9771851
Reference20 articles.
1. A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks
2. Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation
3. Energy-Efficient Federated Edge Learning with Joint Communication and Computation Design
4. Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks
5. Scheduling Policies for Federated Learning in Wireless Networks
Cited by 3 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. Communication-Efficient Personalized Federated Learning with Privacy-Preserving;IEEE Transactions on Network and Service Management;2023
2. Random Orthogonalization for Federated Learning in Massive MIMO Systems;IEEE Transactions on Wireless Communications;2023
3. FedSEA;Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems;2022-11-06
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