2026-01-15 Return to Briefing

Federated Learning for Privacy

Federated Learning for Privacy

Privacy-preserving collaboration enables AML/Fraud intelligence sharing without exposing raw customer data.

Access Primary Source

Strategic Analysis: Federated Learning

Privacy-First: Trains models locally on encrypted data; shares only parameters. Aligned with EU AI Act data minimization mandates.

Impact: 10-20% FTE reduction in AML investigations via reduced false positives.