Federated Learning

A decentralized machine learning method where multiple devices collaboratively train a model while keeping the data localized to each device.

AI agents use federated learning to ensure data privacy and security, as the data never leaves the user’s device.

This technique is especially relevant for applications in healthcare, finance, and mobile device optimization.