【隱私】結合遷移學習與聯邦學習，能不損害患者敏感資料並訓練高精度模型

 【隱私】結合遷移學習與聯邦學習，能不損害患者敏感資料並訓練高精度模型

 文章出處  

Scientific Reports 

 

 原文標題  

Privacy-preserving federated learning for collaborative medical data mining in multi-institutional settings 

 

 文章序號  

7724 

 

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