https://doi.org/10.7490/f1000research.1119436.1
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Chavero-Díez M, Jouide S, Hernandez-Ferrer C et al. Federated learning: General review and future directions [version 1; not peer reviewed]. F1000Research 2023, 12(ELIXIR):578 (poster) (https://doi.org/10.7490/f1000research.1119436.1)
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Federated learning: General review and future directions

María Chavero-Díez1, Socayna Jouide, Carles Hernandez-Ferrer, Laia Codó, Karim Lekadir, Salvador Capella-Gutierrez, Josep Lluis Gelpí
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Published 31 May 2023

Federated learning: General review and future directions

[version 1; not peer reviewed]

María Chavero-Díez1, Socayna Jouide, Carles Hernandez-Ferrer, Laia Codó, Karim Lekadir, Salvador Capella-Gutierrez, Josep Lluis Gelpí
Author Affiliations
1 Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain
Presented at
ELIXIR All Hands 2023
Abstract
Competing Interests

No competing interests were disclosed

Keywords
Federated learning, Federated processing system, Differential privacy, Sensitive data, Review, Flower
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