Collaborative learning without sharing data

被引：6

作者：

不详

机构：

来源：

NATURE MACHINE INTELLIGENCE | 2021年 / 3卷 / 06期

关键词：

D O I：

10.1038/s42256-021-00364-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Accurate and fair medical machine learning requires large amounts and diverse data to train on. Privacy-preserving methods such as federated learning can help improve machine learning models by making use of datasets in different hospitals and institutes while the data stays where it is collected.

引用

页码：459 / 459

页数：1

共 50 条

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