Energy Minimization for Federated Learning Based Radio Map Construction-Reference-Cited by-同舟云学术

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Energy Minimization for Federated Learning Based Radio Map Construction

Published:2024 Issue: Volume:2 Page:1248-1264
ISSN:2831-316X
Container-title:IEEE Transactions on Machine Learning in Communications and Networking
language:
Short-container-title:Trans. Mach. Learn. Comm. Netw.

Author:

Wu Fahui¹^ORCID,Gao Yunfei²^ORCID,Xiao Lin¹^ORCID,Yang Dingcheng¹^ORCID,Lyu Jiangbin³^ORCID

Affiliation:

1. Information Engineering School, Nanchang University, Nanchang, China

2. School of Electronic Information, Wuhan University, Wuhan, China

3. School of Informatics, Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education, Xiamen University, Xiamen, China

Funder

National Natural Science Foundation of China

Jiangxi Science Technology Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/9882533/10356147/10662910.pdf?arnumber=10662910

Reference38 articles.

1. Towards federated learning at scale: System design;Bonawitz

2. Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges

3. A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

4. Joint Maneuver and Beamforming Design for UAV-Enabled Integrated Sensing and Communication

5. UAV Communications for 5G and Beyond: Recent Advances and Future Trends

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