What are the latest trends in federated learning?

What are the latest trends in federated learning?

Federated learning is gaining traction with trends like improved privacy, edge computing integration, and enhanced model efficiency.

Can you explain how privacy is improved in federated learning?

Sure! Federated learning allows models to be trained on local data without sharing it, thus enhancing user privacy.

What role does edge computing play in federated learning?

Edge computing reduces latency by processing data closer to the source, which is crucial for real-time federated learning applications.

Are there any challenges associated with federated learning?

Yes, challenges include data heterogeneity, communication costs, and ensuring model convergence across different devices.