Privacy-Aware Compression for Federated Data Analysis - Seminar 86
Federated Learning One World Seminar via YouTube
Overview
Watch a 49-minute research seminar from the Federated Learning One World series where Meta researcher Chuan Guo presents innovative approaches to privacy-aware compression techniques for federated data analysis. Learn about cutting-edge methods for maintaining data privacy while optimizing communication efficiency in federated learning systems. Explore the intersection of data compression and privacy preservation in distributed machine learning environments through this technical presentation delivered on November 23rd, 2022.
Syllabus
FLOW Seminar #86: Chuan Guo (Meta) Privacy-Aware Compression for Federated Data Analysis
Taught by
Federated Learning One World Seminar