Exploring the Relationship Between Privacy and Utility in Mobile Health: Algorithm Development and Validation via Simulations of Federated Learning, Differential Privacy, and External Attacks

BACKGROUND: Although evidence supporting the feasibility of large-scale mobile health (mHealth) systems continues to grow, privacy protection remains an important implementation challenge. The potential scale of publicly available mHealth applications and the sensitive nature of the data involved wi...

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Detalles Bibliográficos
Autores principales: Shen, Alexander, Francisco, Luke, Sen, Srijan, Tewari, Ambuj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160928/
https://www.ncbi.nlm.nih.gov/pubmed/37079370
http://dx.doi.org/10.2196/43664

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160928/
https://www.ncbi.nlm.nih.gov/pubmed/37079370
http://dx.doi.org/10.2196/43664

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