Federated Learning at the Edge

Federated learning coordinates model updates while keeping raw data local to devices.

We discuss privacy-preserving aggregation, robustness under real-world constraints, and practical deployment notes.

The focus is on connectivity realities, resilience, and verifiability for edge intelligence.