20 citations · 20 across the 5 of their papers we have counts for
5 papers
Distributed Inference with Sparse and Quantized Communication
Aritra Mitra, John A. Richards, Saurabh Bagchi +1
We consider the problem of distributed inference where agents in a network observe a stream of private signals generated by an unknown state, and aim to uniquely identify this stat…
Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information
Aritra Mitra, John A. Richards, Saurabh Bagchi +1
We study the problem of designing a distributed observer for an LTI system over a time-varying communication graph. The limited existing work on this topic imposes various restrict…
A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks
Aritra Mitra, John A. Richards, Shreyas Sundaram
We introduce a simple time-triggered protocol to achieve communication-efficient non-Bayesian learning over a network. Specifically, we consider a scenario where a group of agents…
A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience
Aritra Mitra, John A. Richards, Shreyas Sundaram
We study a setting where a group of agents, each receiving partially informative private signals, seek to collaboratively learn the true underlying state of the world (from a finit…
A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience
Aritra Mitra, John A. Richards, Shreyas Sundaram
We study a setting where a group of agents, each receiving partially informative private observations, seek to collaboratively learn the true state (among a set of hypotheses) that…