2020
Communication Constrained Learning with Uncertain Models
ICASSP 2020accepted
We consider the problem of distributed inference of a group of agents in a social network, where the agents construct, share, and update beliefs in a non-Bayesian framework to identify the underlying true state of the world. We build upon the concept of uncertain models that accurately represents ea…