Federated horizontally partitioned principal component analysis for biomedical applications

MOTIVATION: Federated learning enables privacy-preserving machine learning in the medical domain because the sensitive patient data remain with the owner and only parameters are exchanged between the data holders. The federated scenario introduces specific challenges related to the decentralized nat...

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Detalles Bibliográficos
Autores principales: Hartebrodt, Anne, Röttger, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710634/
https://www.ncbi.nlm.nih.gov/pubmed/36699354
http://dx.doi.org/10.1093/bioadv/vbac026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710634/
https://www.ncbi.nlm.nih.gov/pubmed/36699354
http://dx.doi.org/10.1093/bioadv/vbac026

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