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A Knowledge-Imparting Generative Modelling Framework for Heterogeneous Federated LearningOA

A Knowledge-Imparting Generative Modelling Framework for Heterogeneous Federated Learning

Hongyao Chen;Tianyang Xu;Xiaojun Wu;Josef Kittler

School of Artificial Intelligence and Computer Science,Jiangnan University,Wuxi 214122,ChinaSchool of Artificial Intelligence and Computer Science,Jiangnan University,Wuxi 214122,ChinaSchool of Artificial Intelligence and Computer Science,Jiangnan University,Wuxi 214122,ChinaSchool of Computer Science and Electronic Engineering and the Centre for Vision,Speech and Signal Processing(CVSSP),University of Surrey,Guildford GU2 7XH,UK

Adversarial trainingfederated learning(FL)gen-erative modelsknowledge distillation

Adversarial trainingfederated learning(FL)gen-erative modelsknowledge distillation

《自动化学报(英文版)》 2026 (8)

1938-1951,14

This work was supported in part by the National Natural Science Foundation of China(62576152,62332008,62336004),the Basic Research Program of Jiangsu(BK20250104),the Fundamental Research Funds for the Central Universities(JUSRP202504007),and the Leverhulme Trust Emeritus Fellowship(EM-2025-06-09).

10.1109/JAS.2026.125840

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