Performance of federated learning-based models in the Dutch TAVI population was comparable to central strategies and outperformed local strategies

BackgroundFederated learning (FL) is a technique for learning prediction models without sharing records between hospitals. Compared to centralized training approaches, the adoption of FL could negatively impact model performance.AimThis study aimed to evaluate four types of multicenter model develop...

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發表在:	Frontiers in Cardiovascular Medicine
Main Authors:	Tsvetan R. Yordanov, Anita C. J. Ravelli, Saba Amiri, Marije Vis, Saskia Houterman, Sebastian R. Van der Voort, Ameen Abu-Hanna
格式:	Article
語言:	英语
出版:	Frontiers Media S.A. 2024-07-01
主題:	federated learning multicenter prediction models TAVI distributed machine learning privacy-preserving algorithms
在線閱讀:	https://www.frontiersin.org/articles/10.3389/fcvm.2024.1399138/full