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Updated: Feb 15, 2026

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将分散式机器学习和人工智能临床模型与本地和集中式替代方案进行比较:系统性审查

José Miguel Diniz1,2, Henrique Vasconcelos3,4, Rita Rb-Silva3,5

  • 1RISE-Health, MEDCIDS, Faculty of Medicine, University of Porto, Porto, Portugal. jmdiniz.med@gmail.com.

NPJ digital medicine
|February 13, 2026
PubMed
概括

医疗保健中的分散学习 (DL) 是有前途的,其表现优于本地学习,并提供隐私方面的好处. 虽然集中式学习 (CL) 在某些指标上表现出色,但DL为敏感数据应用提供了临床上可接受的替代方案.

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