Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data

BACKGROUND: The use of wearables facilitates data collection at a previously unobtainable scale, enabling the construction of complex predictive models with the potential to improve health. However, the highly personal nature of these data requires strong privacy protection against data breaches and...

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Detalles Bibliográficos
Autores principales: Liu, Jessica Chia, Goetz, Jack, Sen, Srijan, Tewari, Ambuj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044739/
https://www.ncbi.nlm.nih.gov/pubmed/33783362
http://dx.doi.org/10.2196/23728

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044739/
https://www.ncbi.nlm.nih.gov/pubmed/33783362
http://dx.doi.org/10.2196/23728

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