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Autor:
Mohammed Lansari, Reda Bellafqira, Katarzyna Kapusta, Vincent Thouvenot, Olivier Bettan, Gouenou Coatrieux
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 4, Pp 1382-1406 (2023)
Federated learning (FL) is a technique that allows multiple participants to collaboratively train a Deep Neural Network (DNN) without the need to centralize their data. Among other advantages, it comes with privacy-preserving properties, making it at
Externí odkaz:
https://doaj.org/article/72790ed125874b26a64307a256469d24
