Privacy in Federated Learning at Scale

Privacy in Federated Learning at Scale

Explore the cutting-edge intersection of privacy and federated learning in this 59-minute invited talk from PPML 2021. Join experts Adria Gascon, Peter Kairouz, and Kallista (Kaylee) Bonawitz as they delve into the challenges and solutions for maintaining privacy in large-scale federated learning systems. Gain insights into the latest advancements and strategies for protecting sensitive data while leveraging the power of distributed machine learning across multiple parties.