ELTFL:A Trusted Heterogeneous Federated Learning in Edge ScenarioOA
ELTFL:A Trusted Heterogeneous Federated Learning in Edge Scenario
Jinshan Lai;Ruijin Wang;Chuanwen Luo;Fengli Zhang
School of Information and Software Engineering,University of Electronic Science and Technology of China,Chengdu 611731,ChinaSchool of Information and Software Engineering,University of Electronic Science and Technology of China,Chengdu 611731,ChinaSchool of Information Science and Technology,Beijing Forestry University,Beijing 100083,China||Engineering Research Center for Forestry Oriented Intelligent Information Processing,National Forestry and Grassland Administration,Beijing 100083,ChinaSchool of Information and Software Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China
federated learningknowledge integrationprivacy-preservingedge computing
federated learningknowledge integrationprivacy-preservingedge computing
《清华大学学报自然科学版（英文版）》 2026 (5)
2449-2467,19
This work was supported by the National Key R&D Program of China(No.2022YFB3304303),the National Natural Science Foundation of China(Nos.62271128 and U2333207),the Chengdu Key R&D Support Plan"Unveiling and Leading"Project(No.2022-JB00-00013-GX),the Sichuan Science and Technology Plan"Unveiling and Leading"Project(No.2023YFG0374),and the Key R&D Projects of Sichuan Provincial Science and Technology Plan(Nos.2022ZDZX004,2023YFG0029,and 2023YFG0150).
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