Article

Privacy-first health research with federated learning

2020-12-24

Abstract excerpt

Privacy protection is paramount in conducting health research. However, studies often rely on data stored in a centralized repository, where analysis is done with full access to the sensitive underlying content. Recent advances in federated learning enable building complex machine-learned models that are trained in a distributed fashion. These techniques facilitate the calculation of research study endpoints such...

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Literature Corpus work: ebafb349-6de5-5d16-b2a1-0d7214837c24
DOI: 10.1101/2020.12.22.20245407

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