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Updated: Jan 7, 2026

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FedHyperGraph: 一个层级的个性化联合学习,在超标空间中使用相关性图表

Haizhou Du1, Chongyi Qiu1, Huan Huo2

  • 1Shanghai University of Electric Power, China.

Neural networks : the official journal of the International Neural Network Society
|December 24, 2025
PubMed
概括

本研究介绍了FedHyperGraph,这是个性化联合学习 (PFL) 的新框架. FedHyperGraph通过捕捉超标空间中的层级相关性来提高模型个性化,在准确性和融合速度方面超过现有方法.

关键词:
用图形指导的聚合方法.个性化联合学习个性化联合学习卡雷球模型球模型统计学上的异质性

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