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FEDSLD:联合学习与共享标签分发用于医疗图像分类

Jun Luo1, Shandong Wu1,2

  • 1Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA.

Proceedings. IEEE International Symposium on Biomedical Imaging
|October 11, 2023
PubMed
概括

联合学习 (FL) 通过在各中心培训模型来解决医疗AI中的数据隐私问题. 一种新的方法,FedSLD,提高了模型稳定性和准确性,尽管数据分布不同.

关键词:
分类 分类 分类 分类.联邦学习学习 (Federated Learning) 是一种学习方式.医学成像医学成像之前的分配 之前的分配

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