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Privacy-preserving deep learning for pervasive health monitoring: a study of environment requirements and existing solutions adequacy
In recent years, deep learning in healthcare applications has attracted considerable attention from research community. They are deployed on powerful cloud infrastructures to process big health data. However, privacy issue arises when sensitive data are offloaded to the remote cloud. In this paper,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813181/ https://www.ncbi.nlm.nih.gov/pubmed/35136708 http://dx.doi.org/10.1007/s12553-022-00640-3 |