Article

Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project

2023-01-26

Abstract excerpt

Combining training data from multiple sources increases sample size and reduces confounding, leading to more accurate and less biased machine learning models. In healthcare, however, direct pooling of data is often not allowed by data custodians who are accountable for minimizing the exposure of sensitive information. Federated learning offers a promising solution to this problem by training a model in a decentral...

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Literature Corpus work: fb317d05-7a2a-5f58-8cd0-69a3e146d5b8
DOI: 10.1101/2023.01.24.23284898

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