Energy Consumption Minimization for Hybrid Federated Learning and Offloadable Tasks in UAV-Enabled WPCN-Reference-Cited by-同舟云学术

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Energy Consumption Minimization for Hybrid Federated Learning and Offloadable Tasks in UAV-Enabled WPCN

Published:2024-09 Issue:5 Volume:11 Page:4639-4650
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Tang Qiang¹^ORCID,Yang Yong¹^ORCID,Yang Halvin²^ORCID,Cao Dun¹^ORCID,Yang Kun³^ORCID

Affiliation:

1. School of Computer Science & Communication Engineering, Changsha University of Science & Technology, Changsha, China

2. Department of Electronic and Electrical Engineering, University College London, London, U.K.

3. Changchun Institute of Technology, Changchun, China

Funder

Scientific Research Fund of Hunan Provincial Education Department

Natural Science Foundation of Hunan Province

National Natural Science Foundation of China

Municipal Government of Quzhou

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6488902/10637788/10584302.pdf?arnumber=10584302

Reference31 articles.

1. Federated Learning With Differential Privacy: Algorithms and Performance Analysis

2. Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges

3. Federated Learning in Mobile Edge Networks: A Comprehensive Survey

4. Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management

5. UAV-Aided Ultra-Reliable Low-Latency Computation Offloading in Future IoT Networks

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