The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach

BACKGROUND: Machine learning and artificial intelligence have shown promising results in many areas and are driven by the increasing amount of available data. However, these data are often distributed across different institutions and cannot be easily shared owing to strict privacy regulations. Fede...

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Detalles Bibliográficos
Autores principales: Matschinske, Julian, Späth, Julian, Bakhtiari, Mohammad, Probul, Niklas, Kazemi Majdabadi, Mohammad Mahdi, Nasirigerdeh, Reza, Torkzadehmahani, Reihaneh, Hartebrodt, Anne, Orban, Balazs-Attila, Fejér, Sándor-József, Zolotareva, Olga, Das, Supratim, Baumbach, Linda, Pauling, Josch K, Tomašević, Olivera, Bihari, Béla, Bloice, Marcus, Donner, Nina C, Fdhila, Walid, Frisch, Tobias, Hauschild, Anne-Christin, Heider, Dominik, Holzinger, Andreas, Hötzendorfer, Walter, Hospes, Jan, Kacprowski, Tim, Kastelitz, Markus, List, Markus, Mayer, Rudolf, Moga, Mónika, Müller, Heimo, Pustozerova, Anastasia, Röttger, Richard, Saak, Christina C, Saranti, Anna, Schmidt, Harald H H W, Tschohl, Christof, Wenke, Nina K, Baumbach, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372562/
https://www.ncbi.nlm.nih.gov/pubmed/37436815
http://dx.doi.org/10.2196/42621

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372562/
https://www.ncbi.nlm.nih.gov/pubmed/37436815
http://dx.doi.org/10.2196/42621

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