Image de couverture de livre

Scalable Distributed Reproduction Numbers of Network Epidemics with Differential Privacy

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Bo, She, Baike, Hawkins, Calvin, Paré, Philip E., Hale, Matthew T.
Format:	Preprint
Publié:	2025
Sujets:	Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Distributed Reproduction Numbers of Networked Epidemics
par: She, Baike, et autres
Publié: (2023)

Differentially Private Computation of Basic Reproduction Numbers in Networked Epidemic Models
par: Chen, Bo, et autres
Publié: (2023)

Modeling Epidemic Spread: A Gaussian Process Regression Approach
par: She, Baike, et autres
Publié: (2023)

A Physics-Informed Neural Networks-Based Model Predictive Control Framework for $SIR$ Epidemics
par: Zhong, Aiping, et autres
Publié: (2025)

Reverse Engineering the Reproduction Number: A Framework for Data-Driven Counterfactual Analysis, Strategy Evaluation, and Feedback Control of Epidemics
par: She, Baike, et autres
Publié: (2023)

Control of SIR Epidemics: Sacrificing Optimality for Feasibility
par: She, Baike, et autres
Publié: (2024)

On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics
par: She, Baike, et autres
Publié: (2021)

Peak Infection Time for a Networked SIR Epidemic with Opinion Dynamics
par: She, Baike, et autres
Publié: (2021)

A Dissipativity Approach to Analyzing Composite Spreading Networks
par: She, Baike, et autres
Publié: (2024)

Differentially Private Formation Control: Privacy and Network Co-Design
par: Hawkins, Calvin, et autres
Publié: (2022)

Global and Distributed Reproduction Numbers of a Multilayer SIR Model with an Infrastructure Network
par: Caiza, José I., et autres
Publié: (2024)

Generating Differentially Private Networks with a Modified Erdős-Rényi Model
par: Rao, Huaiyuan, et autres
Publié: (2025)

Characterizing Compositionality of LQR from the Categorical Perspective
par: She, Baike, et autres
Publié: (2023)

Approximately Optimal Multi-Stream Quickest Change Detection
par: Kartzman, Joshua, et autres
Publié: (2026)

Differentially Private Reward Functions in Policy Synthesis for Markov Decision Processes
par: Benvenuti, Alexander, et autres
Publié: (2023)

Optimal Bayesian Persuasion for Containing SIS Epidemics
par: Maitra, Urmee, et autres
Publié: (2024)

Differentially Private Data-Driven Markov Chain Modeling
par: Benvenuti, Alexander, et autres
Publié: (2026)

Collaborative Safety-Critical Control for Dynamically Coupled Networked Systems
par: Butler, Brooks A., et autres
Publié: (2023)

Robust Safety-Critical Control of Networked SIR Dynamics
par: Samadi, Saba, et autres
Publié: (2026)

Learning Linearized Models from Nonlinear Systems under Initialization Constraints with Finite Data
par: Xin, Lei, et autres
Publié: (2025)

Spectral Flow Learning Theory: Finite-Sample Guarantees for Vector-Field Identification
par: Leung, Chi Ho, et autres
Publié: (2025)

Port-Transversal Barriers: Graph-Theoretic Safety for Port-Hamiltonian Systems
par: Leung, Chi Ho, et autres
Publié: (2026)

Bayesian Safety Guarantees for Port-Hamiltonian Systems with Learned Energy Functions
par: Leung, Chi Ho, et autres
Publié: (2025)

Collaborative Safe Formation Control for Coupled Multi-Agent Systems
par: Butler, Brooks A., et autres
Publié: (2023)

Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems
par: Hanks, Tyler, et autres
Publié: (2023)

Learning Passive Continuous-Time Dynamics with Multistep Port-Hamiltonian Gaussian Processes
par: Leung, Chi Ho, et autres
Publié: (2025)

Distributed Least-Squares Optimization Solvers with Differential Privacy
par: Liu, Weijia, et autres
Publié: (2024)

Hybrid SIS Dynamics for Demand Modeling of Frequently Updated Products
par: Walter, Ian, et autres
Publié: (2025)

Local Differential Privacy for Distributed Stochastic Aggregative Optimization with Guaranteed Optimality
par: Chen, Ziqin, et autres
Publié: (2025)

Distributed Finite-Horizon Optimal Control for Consensus with Differential Privacy Guarantees
par: Ma, Yuwen, et autres
Publié: (2025)

Collaborative Safety-Critical Formation Control with Obstacle Avoidance
par: Butler, Brooks A., et autres
Publié: (2024)

Online Identification of Time-Varying Systems Using Excitation Sets and Change Point Detection
par: Leung, Chi Ho, et autres
Publié: (2024)

Verification and Synthesis Methods for High-Order Control Barrier Functions
par: Pond, Ellie, et autres
Publié: (2025)

A Review of Scalable and Privacy-Preserving Multi-Agent Frameworks for Distributed Energy Resources
par: Huo, Xiang, et autres
Publié: (2024)

HyParLyVe: Hyperplane Partitioning for Neural Lyapunov Verification
par: Wayment, Jesse, et autres
Publié: (2026)

Safe Reference Tracking and Collision Avoidance for Taxiing Aircraft Using an MPC-CBF Framework
par: Butler, Brooks A., et autres
Publié: (2024)

Robust Constrained Consensus and Inequality-constrained Distributed Optimization with Guaranteed Differential Privacy and Accurate Convergence
par: Wang, Yongqiang, et autres
Publié: (2024)

Secure and Scalable Network Slicing with Plug-and-Play Support for Power Distribution System Communication Networks
par: Zhong, Jian, et autres
Publié: (2024)

Self-Configurable Mesh-Networks for Scalable Distributed Submodular Bandit Optimization
par: Xu, Zirui, et autres
Publié: (2026)

A Quantum-Compliant Formulation for Network Epidemic Control
par: Zino, Lorenzo, et autres
Publié: (2025)