Peak-controlled logits poisoning attack in federated distillation

Abstract Federated Distillation (FD) is an innovative distributed machine learning paradigm that enables efficient and flexible cross-device knowledge transfer through knowledge distillation, without the need to upload large-scale model parameters to a central server. Although FD has attracted incre...

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Auteurs principaux:	Yuhan Tang, Zhiyuan Wu, Bo Gao, Tian Wen, Yuwei Wang, Sheng Sun
Format:	Artigo
Langue:	Inglês
Publié:	Springer 2025-10-01
Collection:	Discover Computing
Sujets:	Federated learning Knowledge distillation Knowledge transfer Poisoning attack Misleading attack
Accès en ligne:	https://doi.org/10.1007/s10791-025-09742-8
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