Federated Learning & Differential Privacy: Architects for Secure AI Collaboration
Wednesday, July 15th, 2026: 10:00 AM to 11:00 AM
In this session, we'll cover the architectural patterns making secure, multi-party AI collaboration a production reality. We'll walk through how federated learning keeps raw data secure inside each institution's boundaries, how differential privacy provides provable guarantees against re-identification, and how these techniques work together with accelerated computing to power real-time AML, fraud, and sanctions workflows.
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