What is Federated Learning? — NodeOps Glossary

Federated Learning — Federated learning is a Machine Learning (ML) technique where models are trained across multiple decentralized devices or servers holding local data samples, without exchanging the raw data. This enhances both privacy and security while enabling distributed AI model training — a key use case for DePIN Compute marketplaces.

Category: AI & Machine Learning