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Updated: Sep 9, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

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FedCoSR:非IIDデータにおけるレーベルの異質性に対する対照的な共有可能な表現によるパーソナライズされた連結学習

Chenghao Huang, Xiaolu Chen, Yanru Zhang

    IEEE transactions on cybernetics
    |September 3, 2025
    PubMed
    まとめ

    この研究では,新しいプライバシー保護の連邦学習アルゴリズムである,連邦対照共有表現 (FedCoSRs) が導入されています. FedCoSRsは,ラベル配布の歪みとデータ不足に対処することによって,分散コンピューティングアプリケーションの正確性と公平性を高めます.

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