How the generative adversarial network is trained using a federated learning framework. (IMAGE)
Caption
During training, only the parameters of the generator are transmitted between the central server and local devices. The discriminators on the local devices update their regularization terms based on the parameters received from the server.
Credit
YIYU GUO ET AL.
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Credit must be given to the creator.
License
CC BY