4 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
Near-Optimal Data Source Selection for Bayesian Learning
Lintao Ye, Aritra Mitra, Shreyas Sundaram
We study a fundamental problem in Bayesian learning, where the goal is to select a set of data sources with minimum cost while achieving a certain learning performance based on the…
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…