Fundamental Trade-Offs in FL-FA - Sparsity - DP - Communication Constraints

Explore fundamental trade-offs in Federated Learning (FL) and Federated Analytics (FA) with a focus on sparsity, Differential Privacy (DP), and communication constraints in this 37-minute lecture by Peter Kairouz from Google. Delve into information-theoretic methods for trustworthy machine learning as part of the Simons Institute's series on advanced topics in artificial intelligence and data privacy.

Fundamental trade-offs in FL/FA + sparsity + DP + communication constaints