Invisible Hands, Secure Data: Federated Learning for Payroll & Workforce Analytics

About the Session

Centralizing sensitive HR data in one cloud can raise privacy and compliance risks across jurisdictions. Federated Learning (FL) offers an alternative by training models locally where the data resides and transmitting only encrypted updates. This session walks through a real-world deployment across multiple international subsidiaries. It explores key components such as encrypted gradient boosting, secure aggregation, differential privacy, and role-based access controls—all designed to comply with regional data laws. The session also includes a live demonstration of edge-node orchestration using Kubernetes and open-source federated stacks that integrate with enterprise data platforms.

Speaker

Nishanth Sirikonda

Workday Solutions Architect