CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning

Kaveen Hiniduma, Zilinghan Li, Aditya Sinha +2

Privacy-Preserving Federated Learning (PPFL) is a decentralized machine learning approach where multiple clients train a model collaboratively. PPFL preserves the privacy and secur…