Machine Learning
Federated Learning
A machine learning approach that allows models to be trained across decentralized devices or servers holding local data samples.
Expanded definition
Federated learning enables multiple participants to collaboratively train a model while keeping their data localized and private. This approach is particularly useful when data privacy is a concern, as it prevents sensitive information from being shared with central servers. By aggregating the learning from various devices, federated learning enhances model performance without compromising data security.
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