Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation

BACKGROUND: Artificial neural networks have achieved unprecedented success in the medical domain. This success depends on the availability of massive and representative datasets. However, data collection is often prevented by privacy concerns, and people want to take control over their sensitive inf...

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Detalles Bibliográficos
Autores principales: Shao, Rulin, He, Hongyu, Chen, Ziwei, Liu, Hui, Liu, Dianbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909896/
https://www.ncbi.nlm.nih.gov/pubmed/33350391
http://dx.doi.org/10.2196/17265

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909896/
https://www.ncbi.nlm.nih.gov/pubmed/33350391
http://dx.doi.org/10.2196/17265

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