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DFUN-KDF:Efficient and robust decentralized federated framework for UAV networks via knowledge distillation and filtering

Wenyuan Yang Yuhang Liu Xinlin Leng Hanlin Gu Gege Jiang Xiaochuan Yu Xiaochun Cao

交通研究通讯（英文）2025，Vol.5Issue(2)：79-91,13.

交通研究通讯（英文）2025，Vol.5Issue(2)：79-91,13.DOI:10.1016/j.commtr.2025.100173

DFUN-KDF:Efficient and robust decentralized federated framework for UAV networks via knowledge distillation and filtering

Wenyuan Yang ¹Yuhang Liu ²Xinlin Leng ¹Hanlin Gu ³Gege Jiang ¹Xiaochuan Yu ⁴Xiaochun Cao⁵

作者信息

1. School of Cyber Science and Technology,Sun Yat-sen University,ShenZhen,518000,China
2. Key Laboratory of Cyberspace Security,Ministry of Education,ZhengZhou,450000,China
3. School of Information and Software Engineering,University of Electronic Science and Technology of China,Chengdu,610000,China
4. School of Mathematics,The Hong Kong University of Science and Technology,Hong Kong,999077,China
5. School of Intelligent Systems Engineering,Sun Yat-sen University,ShenZhen,518000,China
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摘要

关键词

Decentralized federated learning(FL)/Unmanned aerial vehicles(UAVs)/Aggregation mechanism/Knowledge distillation

Key words

Decentralized federated learning(FL)/Unmanned aerial vehicles(UAVs)/Aggregation mechanism/Knowledge distillation

引用本文复制引用

Wenyuan Yang,Yuhang Liu,Xinlin Leng,Hanlin Gu,Gege Jiang,Xiaochuan Yu,Xiaochun Cao..DFUN-KDF:Efficient and robust decentralized federated framework for UAV networks via knowledge distillation and filtering[J].交通研究通讯（英文）,2025,5(2):79-91,13.

基金项目

This work was supported in part by the National Key R&D Program of China(Nos.2023YFB2904000 and 2023YFB2904001),in part by the National Natural Science Foundation of China(Nos.62402535 and 72201285),in part by the Aeronautical Science Foundation of Chinese Aeronautical Establishment(No.2022Z0660M1001),in part by the Basic and Applied Basic Research Foundation of Guangdong Province(No.92024A1515011887),in part by the Open Foundation of Key Laboratory of Cyberspace Security,Ministry of Education of China and Henan Key Laboratory of Cyberspace Situation Awareness(No.KLCS20240101),in part by the Industry-University Cooperation Collaborative Education Project,Ministry of Education(No.231104719270153),and in part by Shenzhen Science and Technology Program(No.RCBS20231211090558092). （Nos.2023YFB2904000 and 2023YFB2904001）

交通研究通讯（英文）

ISSN：2772-4247

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