Information Bottleneck Methods for Distributed Learning

Parinaz Farajiparvar, Ahmad Beirami, Matthew Nokleby

We study a distributed learning problem in which Alice sends a compressed distillation of a set of training data to Bob, who uses the distilled version to best solve an associated…