MLOps & Infrastructure · advanced · concept 144 of 176
Federated Learning
Training ML models across multiple devices/organizations without sharing raw data, each participant trains locally and shares only model updates. Preserves privacy while enabling collaborative learning.
Key terms
Privacy-preservingAggregationNon-IID dataCommunication efficiency
Learn these first
Videos
▶ Training AI Models with Federated Learning ↗
IBM Technology · YouTube
▶ Federated Learning & Encrypted AI Agents: Secure Data & AI Made Simple ↗
IBM Technology · YouTube
Guides and articles
Courses, papers, and more