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09/16/2023
Robust Online Covariance and Sparse Precision Estimation Under Arbitrary Data Corruption
Gaussian graphical models are widely used to represent correlations amon...
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09/15/2023
Learning Linearized Models from Nonlinear Systems with Finite Data
Identifying a linear system model from data has wide applications in con...
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08/29/2023
Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles
The exponential growth of electric vehicles (EVs) presents novel challen...
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05/18/2023
On the Geometric Convergence of Byzantine-Resilient Distributed Optimization Algorithms
The problem of designing distributed optimization algorithms that are re...
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03/15/2023
Multi-Robot Persistent Monitoring: Minimizing Latency and Number of Robots with Recharging Constraints
In this paper we study multi-robot path planning for persistent monitori...
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03/15/2023
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model
Model-based Reinforcement Learning (RL) integrates learning and planning...
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02/08/2023
Learning Dynamical Systems by Leveraging Data from Similar Systems
We consider the problem of learning the dynamics of a linear system when...
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09/17/2022
Robust Online and Distributed Mean Estimation Under Adversarial Data Corruption
We study robust mean estimation in an online and distributed scenario in...
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09/12/2022
Finite Sample Guarantees for Distributed Online Parameter Estimation with Communication Costs
We study the problem of estimating an unknown parameter in a distributed...
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05/25/2022
A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems
As the scale of networked control systems increases and interactions bet...
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04/11/2022
Identifying the Dynamics of a System by Leveraging Data from Similar Systems
We study the problem of identifying the dynamics of a linear system when...
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03/24/2022
Learning the Dynamics of Autonomous Linear Systems From Multiple Trajectories
We consider the problem of learning the dynamics of autonomous linear sy...
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10/19/2021
Planning for Package Deliveries in Risky Environments Over Multiple Epochs
We study a risk-aware robot planning problem where a dispatcher must con...
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09/24/2021
Distributed Estimation of Sparse Inverse Covariances
Learning the relationships between various entities from time-series dat...
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03/05/2021
The Effect of Behavioral Probability Weighting in a Simultaneous Multi-Target Attacker-Defender Game
We consider a security game in a setting consisting of two players (an a...
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11/21/2020
Near-Optimal Data Source Selection for Bayesian Learning
We study a fundamental problem in Bayesian learning, where the goal is t...
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11/12/2020
Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems
We model the behavioral biases of human decision-making in securing inte...
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09/28/2020
Distributed Maximization of Submodular and Approximately Submodular Functions
We study the problem of maximizing a submodular function, subject to a c...
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04/04/2020
BASCPS: How does behavioral decision making impact the security of cyber-physical systems?
We study the security of large-scale cyber-physical systems (CPS) consis...
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04/02/2020
Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication
We consider the problem of distributed hypothesis testing (or social lea...
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04/02/2020
Event-Triggered Distributed Inference
We study a setting where each agent in a network receives certain privat...
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03/24/2020
On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering
Given a linear dynamical system affected by stochastic noise, we conside...
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03/19/2020
Byzantine-Resilient Distributed Optimization of Multi-Dimensional Functions
The problem of distributed optimization requires a group of agents to re...
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01/09/2020
Behavioral and Game-Theoretic Security Investments in Interdependent Systems Modeled by Attack Graphs
We consider a system consisting of multiple interdependent assets, and a...
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12/20/2019
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap
Cyberphysical systems (CPS) are ubiquitous in our personal and professio...
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09/04/2019
A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks
We introduce a simple time-triggered protocol to achieve communication-e...
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07/05/2019
A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience
We study a setting where a group of agents, each receiving partially inf...
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03/14/2019
Multi-Robot Routing for Persistent Monitoring with Latency Constraints
In this paper we study a multi-robot path planning problem for persisten...
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03/14/2019
A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience
We study a setting where a group of agents, each receiving partially inf...
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10/01/2018
Game-Theoretic Choice of Curing Rates Against Networked SIS Epidemics by Human Decision-Makers
We study networks of human decision-makers who independently decide how ...
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04/20/2018
On the Location of the Minimizer of the Sum of Two Strongly Convex Functions
The problem of finding the minimizer of a sum of convex functions is cen...
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04/20/2018
On the Location of the Minimizer of the Sum of Strongly Convex Functions
The problem of finding the minimizer of a sum of convex functions is cen...
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03/26/2018
Min-Max Tours for Task Allocation to Heterogeneous Agents
We consider a scenario consisting of a set of heterogeneous mobile agent...
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02/26/2018