Version Age-Based Client Scheduling Policy for Federated Learning
Author:
Affiliation:
1. Zhejiang University,ZJU-UIUC Institute,China
2. Linköping University,Department of Computer and Information Science,Sweden
Funder
National Natural Science Foundation of China
Horizon Europe
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10625769/10625780/10626990.pdf?arnumber=10626990
Reference24 articles.
1. Communication-efficient learning of deep networks from decentralized data;McMahan;Artificial intelligence and statistics,2017
2. Federated optimization in heterogeneous networks;Li
3. Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends
4. Scheduling Policies for Federated Learning in Wireless Networks
5. Multi-Armed Bandit-Based Client Scheduling for Federated Learning
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