Federated Learning
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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Federated Learning FAQ
What is Federated Learning?
A machine learning approach that allows models to be trained across decentralized devices or servers holding local data samples.
How is Federated Learning used in AI systems?
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 s...
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