Resource-Constrained Client Selection via Cluster-Driven Federated Learning for Internet of Things-Reference-Cited by-同舟云学术

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Resource-Constrained Client Selection via Cluster-Driven Federated Learning for Internet of Things

Published:2024-04-21 Issue: Volume:35 Page:1-6
ISSN:
Container-title:2024 IEEE Wireless Communications and Networking Conference (WCNC)
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Author:

Jiang Liusha¹,Zhai Xiangping Bryce¹,Zhu Jing¹,Li Juan¹

Affiliation:

1. Nanjing University of Aeronautics and Astronautics,Nanjing,China

Funder

Natural Science Foundation of Jiangsu Province of China

National Natural Science Foundation of China

China National Key R&D Program

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10570463/10570502/10570641.pdf?arnumber=10570641

Reference22 articles.

1. FedMCCS: Multicriteria Client Selection Model for Optimal IoT Federated Learning

2. What the GDPR means for businesses

3. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

4. FedDCS: A distributed client selection framework for cross device federated learning

5. An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee

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