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A systematic review of federated learning applications for biomedical data
112
Zitationen
9
Autoren
2022
Jahr
Abstract
Federated learning is a growing field in machine learning with many promising uses in healthcare. Few studies have been published to date. Our evaluation found that investigators can do more to address the risk of bias and increase transparency by adding steps for data homogeneity or sharing required metadata and code.
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