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Updated: Jun 28, 2026

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在联合学习中模型的实用性和可解释性 - - 在医疗保健中使用 fundus oculi 数据集的案例研究

Niklas Penzel1, Daniel Scheliga2, Hannes Oppermann3

  • 1Computer Vision Group, Friedrich Schiller University, Ernst-Abbe-Platz 2, Jena, 07743, Thuringia, Germany.

Journal of biomedical informatics
|March 9, 2026
PubMed
概括

医疗保健中的联合学习 (FL) 提高了模型的实用性,并学习了医疗相关的特征,例如对青光眼诊断的杯与磁盘的比率,同时保持了患者的隐私. 这种方法为各种医疗数据集的孤立培训提供了一个强大的替代方案.

关键词:
一个基准的基准.分布式场景分布式场景功能归属属性属性 属性归属属性联合学习是联合学习.在XAI,XAI就是XAI.

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