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.

PPML 2021 Invited Talk: Privacy in Federated Learning at Scale Gascon, Kairouz, and Bonawitz