6 papers
Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication
Shreyas Sundaram, Aritra Mitra
We consider the problem of distributed hypothesis testing (or social learning) where a network of agents seeks to identify the true state of the world from a finite set of hypothes…
On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation
Aritra Mitra, Faiq Ghawash, Shreyas Sundaram +1
We address the problem of distributed state estimation of a linear dynamical process in an attack-prone environment. Recent attempts to solve this problem impose stringent redundan…
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…
Distributed Functional Observers for LTI Systems
Aritra Mitra, Shreyas Sundaram
We study the problem of designing distributed functional observers for LTI systems. Specifically, we consider a setting consisting of a state vector that evolves over time accordin…