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"Fed-BioMed: Open, Transparent and Trusted Federated Learning for ..."

Francesco Cremonesi et al. (2023)

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DOI: 10.48550/ARXIV.2304.12012

access: open

type: Informal or Other Publication

metadata version: 2023-11-22

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  - journals/corr/abs-2304-12012
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  - https://dblp.org/rec/journals/corr/abs-2304-12012
Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Santiago Silva, Samy-Safwan Ayed, Riccardo Taiello, Laetitia Kameni, Richard Vidal, Fanny Orlhac, Christophe Nioche, Nathan Lapel, Bastien Houis, Romain Modzelewski, Olivier Humbert, Melek Önen, Marco Lorenzi:
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications. CoRR abs/2304.12012 (2023)

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