GLOSSARY TERM
What is Federated Learning?
Training an algorithm across decentralized edge devices holding local data samples.
Federated learning allows multiple actors to build a common, robust machine learning model without sharing data. It addresses critical data privacy, security, and access rights issues by keeping the raw data localized.
Decentralized AI
Train models on distributed sensitive data securely with Private AI.