Federated Learning

Sat, 18 Jul 2026 09:40:59 +0000

Definition

Federated learning enables organizations to collaboratively train AI models without sharing sensitive raw data. Instead of centralizing information, the model is sent to local devices where it learns from local data, and only model updates (gradients) are transmitted back to a central server for aggregation. This enhances privacy and security, making it ideal for healthcare and finance applications where data sovereignty is paramount.

Summary

Federated learning is a distributed machine learning approach that trains models across decentralized devices while keeping data local.

Distributed ML on English AI Terms Dictionary

Federated Learning

Definition

Summary