What are the applications of federated learning?

What are the applications of federated learning?

Federated learning is used in various fields like healthcare, finance, and mobile devices for privacy-preserving AI.

Can you give me an example in healthcare?

Sure! In healthcare, federated learning allows hospitals to collaborate on AI models without sharing sensitive patient data.

How does it ensure data privacy?

It keeps data localized on devices and only shares model updates, minimizing the risk of exposing personal information.

What are the challenges of implementing federated learning?

Challenges include dealing with heterogeneous data, communication costs, and ensuring model convergence across devices.