Federated learning, wherein training data never leaves the user's device (only gradients or model parameters), is an effective way to protect the privacy of individual training points.
Federated Learning Protects Privacy in AI Model Training
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Federated learning, wherein training data never leaves the user's device (only gradients or model parameters), is an effective way to protect the privacy of individual training points.
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