Privacy-first health research with federated learning
Abstract 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 m...
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| Principais autores: | , , , , , , , , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2021-09-01
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| Series: | npj Digital Medicine |
| Acceso en liña: | https://doi.org/10.1038/s41746-021-00489-2 |
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