Cookbook Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 1

Cookbook Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 1

Explore fundamental concepts in distributed learning and statistical inference through this IEEE conference talk. Delve into protocols, models, and general formulations for distributed settings. Examine two sets of distributions, focusing on discrete distributions and those over high-dimensional domains. Gain insights into the challenges and approaches in constrained statistical inference, with references provided for further study.