What is Federated Learning?
A technique where multiple parties collaboratively train a model without sharing raw data. Each participant trains locally and only uploads model updates, preserving data privacy. Ideal for privacy-sensitive fields like healthcare and finance. Google Keyboard’s input prediction uses federated learning.