Participant and Sample Selection for Efficient Online Federated Learning in UAV Swarms-Reference-Cited by-同舟云学术

Participant and Sample Selection for Efficient Online Federated Learning in UAV Swarms

Published:2024-06-15 Issue:12 Volume:11 Page:21202-21214
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wu Feiyu¹^ORCID,Qu Yuben¹^ORCID,Wu Tao²,Dong Chao¹^ORCID,Guo Kefeng¹^ORCID,Wu Qihui¹^ORCID,Guo Song³^ORCID

Affiliation:

1. Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Department of Computing, Hong Kong Polytechnic University, Hong Kong, China

3. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China

Funder

National Natural Science Foundation of China

Hong Kong Scholars Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10551641/10443351.pdf?arnumber=10443351

Reference40 articles.

1. Machine Learning With Big Data: Challenges and Approaches

2. Federated Learning: Challenges, Methods, and Future Directions

3. Blockchain-Empowered Federated Learning for Healthcare Metaverses: User-Centric Incentive Mechanism With Optimal Data Freshness

4. Elastic Collaborative Edge Intelligence for UAV Swarm: Architecture, Challenges, and Opportunities

5. Coverage Path Planning Optimization of Heterogeneous UAVs Group for Precision Agriculture

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-UAV Hierarchical Intelligent Traffic Offloading Network Optimization Based on Deep Federated Learning;IEEE Internet of Things Journal;2024-06-15