Matthew T. Hale

Orcid: 0000-0003-3991-1680

Affiliations:
  • University of Florida, FL, USA
  • Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA (former)


According to our database1, Matthew T. Hale authored at least 55 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Node and Edge Differential Privacy for Graph Laplacian Spectra: Mechanisms and Scaling Laws.
IEEE Trans. Netw. Sci. Eng., 2024

Differentially Private Reward Functions for Markov Decision Processes.
Proceedings of the IEEE Conference on Control Technology and Applications, 2024

Differentially Private Computation of Basic Reproduction Numbers in Networked Epidemic Models.
Proceedings of the American Control Conference, 2024

2023
Differential privacy for symbolic systems with application to Markov Chains.
Autom., June, 2023

Totally Asynchronous Primal-Dual Convex Optimization in Blocks.
IEEE Trans. Control. Netw. Syst., March, 2023

Differentially Private LQ Control.
IEEE Trans. Autom. Control., February, 2023

Anomaly Search Over Many Sequences With Switching Costs.
IEEE Control. Syst. Lett., 2023

Differentially Private Reward Functions for Multi-Agent Markov Decision Processes.
CoRR, 2023

Differential Privacy in Cooperative Multiagent Planning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Differential Privacy for Stochastic Matrices Using the Matrix Dirichlet Mechanism.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A Totally Asynchronous Block-Based Heavy Ball Algorithm for Convex Optimization.
Proceedings of the American Control Conference, 2023

Linear Regularizers Enforce the Strict Saddle Property.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Spectral Differential Privacy: Application to Smart Meter Data.
IEEE Internet Things J., 2022

Asynchronous Parallel Nonconvex Optimization Under the Polyak-Łojasiewicz Condition.
IEEE Control. Syst. Lett., 2022

The Bounded Gaussian Mechanism for Differential Privacy.
CoRR, 2022

Faster Asynchronous Nonconvex Block Coordinate Descent with Locally Chosen Stepsizes.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Differential Privacy on the Unit Simplex via the Dirichlet Mechanism.
IEEE Trans. Inf. Forensics Secur., 2021

Event-Triggered Formation Control and Leader Tracking With Resilience to Byzantine Adversaries: A Reputation-Based Approach.
IEEE Trans. Control. Netw. Syst., 2021

Totally Asynchronous Large-Scale Quadratic Programming: Regularization, Convergence Rates, and Parameter Selection.
IEEE Trans. Control. Netw. Syst., 2021

Nonasymptotic Connectivity of Random Graphs and Their Unions.
IEEE Trans. Control. Netw. Syst., 2021

A Decentralized Multi-objective Optimization Algorithm.
J. Optim. Theory Appl., 2021

Privacy-Preserving Teacher-Student Deep Reinforcement Learning.
CoRR, 2021

Exponentially Converging Distributed Gradient Descent with Intermittent Communication via Hybrid Methods.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Edge Differential Privacy for Algebraic Connectivity of Graphs.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Stability and Sustainability of a Networked Resource Consumption Model.
IEEE Trans. Netw. Sci. Eng., 2020

Predictive resource allocation for flexible loads with local QoS.
CoRR, 2020

Towards Totally Asynchronous Primal-Dual Convex Optimization in Blocks.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Differentially Private Formation Control.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Privacy-Preserving Policy Synthesis in Markov Decision Processes.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Resource allocation with local QoS: Flexible loads in the power grid.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

Reputation-Based Event-Triggered Formation Control and Leader Tracking with Resilience to Byzantine Adversaries.
Proceedings of the 2020 American Control Conference, 2020

Error Bounds and Guidelines for Privacy Calibration in Differentially Private Kalman Filtering.
Proceedings of the 2020 American Control Conference, 2020

The Dirichlet Mechanism for Differential Privacy on the Unit Simplex.
Proceedings of the 2020 American Control Conference, 2020

An Algorithm for Multi-Objective Multi-Agent Optimization.
Proceedings of the 2020 American Control Conference, 2020

Differentially Private Controller Synthesis With Metric Temporal Logic Specifications.
Proceedings of the 2020 American Control Conference, 2020

2019
Bidirectional Information Flow and the Roles of Privacy Masks in Cloud-Based Control.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Totally Asynchronous Distributed Quadratic Programming with Independent Stepsizes and Regularizations.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Design of Sustainable Resource Consumption Networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Towards Differential Privacy for Symbolic Systems.
Proceedings of the 2019 American Control Conference, 2019

Trust-Driven Privacy in Human-Robot Interactions.
Proceedings of the 2019 American Control Conference, 2019

2018
Cloud-Enabled Differentially Private Multiagent Optimization With Constraints.
IEEE Trans. Control. Netw. Syst., 2018

Stability of Leaderless Resource Consumption Networks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Asynchronous Distributed Optimization with Heterogeneous Regularizations and Normalizations.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Privacy in Feedback: The Differentially Private LQG.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Mixed centralized/decentralized coordination protocols for multi-agent systems.
PhD thesis, 2017

Asynchronous Multiagent Primal-Dual Optimization.
IEEE Trans. Autom. Control., 2017

On the connectivity of unions of random graphs.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Convergence rate estimates for consensus over random graphs.
Proceedings of the 2017 American Control Conference, 2017

2016
Differentially private objective functions in distributed cloud-based optimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Switched-mode systems: gradient-descent algorithms with Armijo step sizes.
Discret. Event Dyn. Syst., 2015

Cloud-based centralized/decentralized multi-agent optimization with communication delays.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Differentially private cloud-based multi-agent optimization with constraints.
Proceedings of the American Control Conference, 2015

2014
Cloud-based optimization: A quasi-decentralized approach to multi-agent coordination.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Mode scheduling under dwell time constraints in switched-mode systems.
Proceedings of the American Control Conference, 2014


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