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Updated: Jan 23, 2026

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在头尾不平衡数据上的梯度精细化联合学习

Yiwen Wang, Heye Zhang, Chenchu Xu

    IEEE transactions on neural networks and learning systems
    |January 21, 2026
    PubMed
    概括

    联合学习与不平衡的数据作斗争,其中FedGRE (联合梯度改进) 通过改进梯度来增强全球模型. 这种方法可以提高联合长尾分类中的性能,同时保持数据隐私.

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