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Found 2 papers, 2 papers with code
Federated Evaluation of On-device Personalization
Federated learning is a distributed, on-device computation framework that enables training global models without exporting sensitive user data to servers.
Federated Learning for Mobile Keyboard Prediction
We train a recurrent neural network language model using a distributed, on-device learning framework called federated learning for the purpose of next-word prediction in a virtual keyboard for smartphones.
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