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Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
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一种个性化的联合学习方法,以加强对异质医疗机构的联合建模

Hong Ye1,2, Xiangzhou Zhang1,3, Kang Liu1,2

  • 1Big Data Decision Institute, Jinan University, Guangzhou, China.

Digital health
|August 4, 2025
PubMed
概括

联邦高斯混合集群 (FedGMC) 通过解决数据异质性来改进智能医疗保健的个性化联合学习模型. 这种新的框架提高了医院之间的模型性能和公平性,促进了合作意愿.

关键词:
联合学习是联合学习.急性脏损伤急性脏损伤电子健康记录是电子健康记录.联邦集群集群是指联邦集群集群.非IID数据的数据个性化的联合学习.

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