82 citations · 419 across the 63 of their papers we have counts for
30 papers · 1 filter
Finite Sample Guarantees for Distributed Online Parameter Estimation with Communication Costs
Lei Xin, George Chiu, Shreyas Sundaram
We study the problem of estimating an unknown parameter in a distributed and online manner. Existing work on distributed online learning typically either focuses on asymptotic anal…
Optimal Mitigation of SIR Epidemics Under Model Uncertainty
Baike She, Shreyas Sundaram, Philip E. Paré
We study the impact of model parameter uncertainty on optimally mitigating the spread of epidemics. We capture the epidemic spreading process using a susceptible-infected-removed (…
Resilience for Distributed Consensus with Constraints
Xuan Wang, Shaoshuai Mou, Shreyas Sundaram
This paper proposes a new approach that enables multi-agent systems to achieve resilient \textit{constrained} consensus in the presence of Byzantine attacks, in contrast to existin…
A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems
Mohammad Pirani, Aritra Mitra, Shreyas Sundaram
As the scale of networked control systems increases and interactions between different subsystems become more sophisticated, questions of the resilience of such networks increase i…
Identifying the Dynamics of a System by Leveraging Data from Similar Systems
Lei Xin, Lintao Ye, George Chiu +1
We study the problem of identifying the dynamics of a linear system when one has access to samples generated by a similar (but not identical) system, in addition to data from the t…
Learning the Dynamics of Autonomous Linear Systems From Multiple Trajectories
Lei Xin, George Chiu, Shreyas Sundaram
We consider the problem of learning the dynamics of autonomous linear systems (i.e., systems that are not affected by external control inputs) from observations of multiple traject…
Peak Infection Time for a Networked SIR Epidemic with Opinion Dynamics
Baike She, Humphrey C. H. Leung, Shreyas Sundaram +1
We propose an SIR epidemic model coupled with opinion dynamics to study an epidemic and opinions spreading in a network of communities. Our model couples networked SIR epidemic dyn…
Parameter Estimation in Epidemic Spread Networks Using Limited Measurements
Lintao Ye, Philip E. Paré, Shreyas Sundaram
We study the problem of estimating the parameters (i.e., infection rate and recovery rate) governing the spread of epidemics in networks. Such parameters are typically estimated by…
Towards Resilience for Multi-Agent -Learning
Yijing Xie, Shaoshuai Mou, Shreyas Sundaram
This paper considers the multi-agent reinforcement learning (MARL) problem for a networked (peer-to-peer) system in the presence of Byzantine agents. We build on an existing distri…
The Effect of Behavioral Probability Weighting in a Simultaneous Multi-Target Attacker-Defender Game
Mustafa Abdallah, Timothy Cason, Saurabh Bagchi +1
We consider a security game in a setting consisting of two players (an attacker and a defender), each with a given budget to allocate towards attack and defense, respectively, of a…
On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics
Baike She, Ji Liu, Shreyas Sundaram +1
We propose a mathematical model to study coupled epidemic and opinion dynamics in a network of communities. Our model captures SIS epidemic dynamics whose evolution is dependent on…
On the Computational Complexity of the Secure State-Reconstruction Problem
Yanwen Mao, Aritra Mitra, Shreyas Sundaram +1
In this paper, we discuss the computational complexity of reconstructing the state of a linear system from sensor measurements that have been corrupted by an adversary. The first r…
Combining Hybrid Input-Output Automaton and Game Theory for Security Modeling of Cyber-Physical Systems
Mustafa Abdallah, Sayan Mitra, Shreyas Sundaram +1
We consider a security setting in which the Cyber-Physical System (CPS) is composed of subnetworks where each subnetwork is under ownership of one defender. Such CPS can be represe…
Policies for Multi-Agency Recovery of Physical Infrastructure After Disasters
Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri
We consider a scenario where multiple infrastructure components have been damaged after a disaster and the health value of each component continues to deteriorate if it is not bein…
Control Policies for Recovery of Interdependent Systems After Disruptions
Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri
We examine a control problem where the states of the components of a system deteriorate after a disruption, if they are not being repaired by an entity. There exist a set of depend…
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…
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…
Behavioral and Game-Theoretic Security Investments in Interdependent Systems Modeled by Attack Graphs
Mustafa Abdallah, Parinaz Naghizadeh, Ashish R. Hota +3
We consider a system consisting of multiple interdependent assets, and a set of defenders, each responsible for securing a subset of the assets against an attacker. The interdepend…
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…
Optimal Policies for Recovery of Multiple Systems After Disruptions
Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri
We consider a scenario where a system experiences a disruption, and the states (representing health values) of its components continue to reduce over time, unless they are acted up…
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…
Finite-Time 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 collaboratively estimating the state of a discrete-time LTI process by a network of sensor nodes interacting over a time-varying directed communication grap…