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FedGSCA:医疗联合学习与全球样本选择器和客户端自适应调整器在标签噪音下

Mengwen Ye, Yingzi Huangfu, Shujian Gao

    IEEE journal of biomedical and health informatics
    |February 10, 2026
    PubMed
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    联邦学习 (FL) 面临着医疗数据噪音的挑战. 我们的FedGSCA框架通过聚合噪音知识和适应性调整客户培训来提高稳定性,在复杂的噪音场景中表现优于现有的方法.

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