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Personalized federated learning method based on prototype clustering mechanism

Existing studies mostly adapt knowledge distillation or multi-task training for personalized federated learning, but these methods typically require additional distillation steps or high communication overhead, affecting overall model performance. To address this challenge, a personalized federated...

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Principais autores: LIU Haijun, WANG Haolong, LIU Yahui, MA Hongliang
Format: Artigo
Sprog:Chinês
Udgivet: Editorial Department of Journal on Communications 2025-10-01
Serier:Tongxin xuebao
Fag:
personalized federated learning
data privacy
data heterogeneity
prototype
Online adgang:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025235/
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