Maxx StacksUniversityWikiFederated Learning
Machine Learning

Federated Learning

FL
Machine Learning· Advanced

Definition

A machine learning approach where a model is trained across multiple decentralized data sources — such as different organizations or devices — without the raw data ever leaving its source. Only model updates (gradients) are shared and aggregated, preserving data privacy.

Maxx Stacks Context

Maxx Stacks context: Federated learning enables Maxx Stacks to improve platform models using enterprise data without requiring customers to expose sensitive information.

Enterprise Context

Critical for healthcare consortiums, financial institutions, and any cross-organization AI initiative constrained by data privacy regulations.

Tags

#privacy#distributed#governance
MS
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