Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI

PURPOSE: The present scoping review aims to assess the non-inferiority of distributed learning over centrally and locally trained machine learning (ML) models in medical applications. METHODS: We performed a literature search using the term “distributed learning” OR “federated learning” in the PubMe...

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Detalles Bibliográficos
Autores principales: Kirienko, Margarita, Sollini, Martina, Ninatti, Gaia, Loiacono, Daniele, Giacomello, Edoardo, Gozzi, Noemi, Amigoni, Francesco, Mainardi, Luca, Lanzi, Pier Luca, Chiti, Arturo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041944/
https://www.ncbi.nlm.nih.gov/pubmed/33847779
http://dx.doi.org/10.1007/s00259-021-05339-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041944/
https://www.ncbi.nlm.nih.gov/pubmed/33847779
http://dx.doi.org/10.1007/s00259-021-05339-7

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