Federated Learning
A machine learning technique that trains an algorithm across multiple decentralized devices or servers holding local data samples, without exchanging them.
Example
A smartphone manufacturer uses federated learning to improve its predictive text model without sending users’ data to a central server, enhancing privacy.
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