首页|期刊导航|交通研究通讯(英文)|DFUN-KDF:Efficient and robust decentralized federated framework for UAV networks via knowledge distillation and filtering

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

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

School of Cyber Science and Technology,Sun Yat-sen University,ShenZhen,518000,ChinaKey Laboratory of Cyberspace Security,Ministry of Education,ZhengZhou,450000,ChinaSchool of Cyber Science and Technology,Sun Yat-sen University,ShenZhen,518000,ChinaSchool of Information and Software Engineering,University of Electronic Science and Technology of China,Chengdu,610000,ChinaSchool of Cyber Science and Technology,Sun Yat-sen University,ShenZhen,518000,ChinaSchool of Mathematics,The Hong Kong University of Science and Technology,Hong Kong,999077,ChinaSchool of Intelligent Systems Engineering,Sun Yat-sen University,ShenZhen,518000,China

Decentralized federated learning(FL)Unmanned aerial vehicles(UAVs)Aggregation mechanismKnowledge distillation

Decentralized federated learning(FL)Unmanned aerial vehicles(UAVs)Aggregation mechanismKnowledge distillation

《交通研究通讯(英文)》 2025 (2)

79-91,13

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).

10.1016/j.commtr.2025.100173

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