Explore cutting-edge algorithms for private federated data analysis in this invited talk from the PPML 2022 conference. Delve into low-communication techniques that offer optimal accuracy guarantees, advancing the field of privacy-preserving machine learning. Gain insights into the latest developments in secure multi-party computation and federated learning, presented by a leading expert in the field.
Low-Communication Algorithms for Private Federated Data Analysis - Invited Talk
Overview
Syllabus
PPML 2022 Invited Talk III
Taught by
TheIACR
Related Courses
-
Samplable Anonymous Aggregation for Private Federated Data Analysis
-
Decentralized Data Science Made Easy
-
Privacy-Preserving Machine Learning Workshop - Invited and Contributed Talks
-
Practical Cryptographic Solutions for Secure Inference and Private Benchmarking
-
Secure and Private AI
-
Privacy-Preserving Machine Learning: Challenges and Opportunities - Invited Talk
