Federated learning of predictive models from federated Electronic Health Records.
Background: In an era of "big data," computationally efficient and privacy-aware solutions for large-scale machine learning problems become crucial, especially in the healthcare domain, where large amounts of data are stored in different locations and owned by different entities. Past research has b...
| Publicado en: | International Journal of Medical Informatics Vol. 112; pp. 59 - 68 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Apr2018
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| Acceso en línea: | Ver este registro en EBSCOhost |