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Updated: Jun 10, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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FedDSS:在横向联合学习中选择客户的数据相似性方法

Tuong Minh Nguyen1, Kim Leng Poh1, Shu-Ling Chong2

  • 1Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore, 117576, Singapore.

International journal of medical informatics
|October 18, 2024
PubMed
概括

联合数据相似性选择 (FedDSS) 通过根据数据相似性选择客户端来改进联合学习,提高模型性能和融合速度,以便更好地预测败血症.

关键词:
客户的选择 客户的选择数据相似性数据相似性联合学习是联合学习.没有识别过的非ID.儿科的败血症 儿科的败血症

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