AI glossary · Machine learning
Federated learning
Federated learning trains an AI model across many devices, such as phones, without collecting their data in one place. Only model updates are shared.
In more detail
Each device improves a copy of the model using its own data, then sends back the changes, not the data itself. The changes are combined into a better shared model.
It helps protect privacy, for example when improving keyboard suggestions from what people type.
Related terms
AI privacyAI privacy is about how AI tools collect, store and use your personal information, including what you type into chatbots and whether it is used for training.Local AILocal AI means running an AI model on your own phone or computer instead of on a company’s servers, so it can work offline and keep your data on your device.Training dataTraining data is the set of examples, such as text, images or past records, that an AI model learns from. Its quality and range shape what the model can do.
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