CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks
Author:
Affiliation:
1. The Ohio State University,Dept. of Electrical and Computer Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9833808/9833812/09833989.pdf?arnumber=9833989
Reference23 articles.
1. Blind Federated Edge Learning
2. Dynamic Scheduling for Over-the-Air Federated Edge Learning With Energy Constraints
3. Joint Client Scheduling and Resource Allocation Under Channel Uncertainty in Federated Learning
4. On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI
5. Federated Learning Based on Over-the-Air Computation
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1. Latency Minimization for Wireless Federated Learning With Heterogeneous Local Model Updates;IEEE Internet of Things Journal;2024-01-01
2. ROAR-Fed: RIS-Assisted Over-the-Air Adaptive Resource Allocation for Federated Learning;ICC 2023 - IEEE International Conference on Communications;2023-05-28
3. RIS-Assisted Over-the-Air Adaptive Federated Learning with Noisy Downlink;2023 IEEE International Conference on Communications Workshops (ICC Workshops);2023-05-28
4. A Survey on Over-the-Air Computation;IEEE Communications Surveys & Tutorials;2023
5. Learning to Transmit Fresh Information in Energy Harvesting Networks;IEEE Transactions on Green Communications and Networking;2022-12
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