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Specifications for the Routine Implementation of Federated Learning in Hospitals Networks

Abstract : We collected user needs to define a process for setting up Federated Learning in a network of hospitals. We identified seven steps: consortium definition, architecture implementation, clinical study definition, data collection, initialization, model training and results sharing. This process adapts certain steps from the classical centralized multicenter framework and brings new opportunities for interaction thanks to the architecture of the Federated Learning algorithms. It is open for completion to cover a variety of scenarios.
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https://hal.inria.fr/hal-03423328
Contributor : Paul Mangold Connect in order to contact the contributor
Submitted on : Wednesday, November 10, 2021 - 9:20:55 AM
Last modification on : Tuesday, December 6, 2022 - 12:42:13 PM
Long-term archiving on: : Friday, February 11, 2022 - 6:12:56 PM

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SHTI-281-SHTI210134.pdf
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Antoine Lamer, Alexandre Filiot, Yannick Bouillard, Paul Mangold, Paul Andrey, et al.. Specifications for the Routine Implementation of Federated Learning in Hospitals Networks. Studies in Health Technology and Informatics, Volume 281: Public Health and Informatics, May 2021, Virtual Conference, France. ⟨10.3233/shti210134⟩. ⟨hal-03423328⟩

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