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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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MFedBN:用梯度基聚和先进分布偏建模解决数据异质性问题

Kinda Mreish1,2, Evgenia Novikova1, Mikhail Chaplygin1

  • 1Faculty of Computer Science and Technology, Saint Petersburg Electrotechnical University "LETI", Saint Petersburg 197376, Russia.

Sensors (Basel, Switzerland)
|December 11, 2025
PubMed
概括

联合学习 (FL) 绩效与非IID数据下降. 一种新的方法,MFedBN,在这些具有挑战性的环境中改进了聚合策略和模型稳定性,增强了保护隐私的应用程序.

关键词:
在 NF-UNSW-NB15 数据集中.这是分类分类的分类.商用车传感器数据集 商用车传感器数据集联合学习的联合学习通过局部批量规范化进行联合.机器学习是机器学习.非-IID数据偏差的偏差

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