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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...
Autores principales: | Kirienko, Margarita, Sollini, Martina, Ninatti, Gaia, Loiacono, Daniele, Giacomello, Edoardo, Gozzi, Noemi, Amigoni, Francesco, Mainardi, Luca, Lanzi, Pier Luca, Chiti, Arturo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
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 |
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