Apprentissage fédéré horizontal


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Définition

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Anglais

Horizontal federated learning

 In the horizontal federated learning setting, multiple clients jointly train a model under the coordination of the central server, while the training data is kept on the client to ensure privacy. 

Horizontal federated learning, or sample-based federated learning, is introduced in the scenarios that data sets share the same feature space but different in sample.



Source : sciencedirect

Source : openmined



Contributeurs: Patrick Drouin, wiki