Federated Learning
A machine learning approach where models are trained across multiple decentralized devices or servers without exchanging raw data.
Definition
A machine learning approach where models are trained across multiple decentralized devices or servers without exchanging raw data.
Why It Matters for AI Governance
Federated learning addresses data residency concerns by keeping personal data on local devices while sharing only model updates. This approach can help organizations comply with DPDP data localization requirements.
How CrewCheck Handles This
CrewCheck's LLM gateway applies federated learning-related controls at the request boundary. Every AI call passes through detection, policy evaluation, and audit logging — ensuring that federated learning is addressed consistently across all teams and providers.
The governance dashboard provides real-time visibility into federated learning events, with drill-down capabilities for compliance officers and exportable evidence for auditors.