Overview
Explore a thought-provoking lecture on distribution estimation challenges in the context of user-level privacy and communication constraints. Delve into the insights presented by Jayadev Acharya from Cornell University as part of the Information-Theoretic Methods for Trustworthy Machine Learning series. Gain valuable knowledge on the intersection of privacy preservation, data distribution, and communication limitations in modern machine learning applications.
Syllabus
Distribution estimation with user-level privacy and communication constraints
Taught by
Simons Institute