Matthew T. Hale

J. Priv. Confidentiality, 2024

Technical Report: A Totally Asynchronous Nesterov's Accelerated Gradient Method for Convex Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Differentially Private Reward Functions for Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Control Technology and Applications, 2024

Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

Differentially Private Computation of Basic Reproduction Numbers in Networked Epidemic Models.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

2023

Differential privacy for symbolic systems with application to Markov Chains.

[BibT_eX]

[DOI]

Autom., June, 2023

Totally Asynchronous Primal-Dual Convex Optimization in Blocks.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., March, 2023

DOMINO: Domain-aware loss for deep learning calibration.

[BibT_eX]

[DOI]

Softw. Impacts, March, 2023

Differentially Private LQ Control.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., February, 2023

Anomaly Search Over Many Sequences With Switching Costs.

[BibT_eX]

[DOI]

Benjamin D. Robinson

IEEE Control. Syst. Lett., 2023

Modeling and Predicting Epidemic Spread: A Gaussian Process Regression Approach.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Differential Privacy in Cooperative Multiagent Planning.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Characterizing Compositionality of LQR from the Categorical Perspective.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Parham Gohari

Ufuk Topcu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Differential Privacy for Stochastic Matrices Using the Matrix Dirichlet Mechanism.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Distributed Reproduction Numbers of Networked Epidemics.

[BibT_eX]

[DOI]

Baike She

Philip E. Paré

Proceedings of the American Control Conference, 2023

A Totally Asynchronous Block-Based Heavy Ball Algorithm for Convex Optimization.

[BibT_eX]

[DOI]

Dawn M. Hustig-Schultz

Ricardo G. Sanfelice

Proceedings of the American Control Conference, 2023

Linear Regularizers Enforce the Strict Saddle Property.

[BibT_eX]

[DOI]

Kasra Yazdani

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Spectral Differential Privacy: Application to Smart Meter Data.

[BibT_eX]

[DOI]

Kendall Parker

Prabir Barooah

IEEE Internet Things J., 2022

Asynchronous Parallel Nonconvex Optimization Under the Polyak-Łojasiewicz Condition.

[BibT_eX]

[DOI]

Kasra Yazdani

IEEE Control. Syst. Lett., 2022

Fast Verification of Control Barrier Functions via Linear Programming.

[BibT_eX]

[DOI]

Ellie Pond

CoRR, 2022

DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Faster Asynchronous Nonconvex Block Coordinate Descent with Locally Chosen Stepsizes.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Differential Privacy on the Unit Simplex via the Dirichlet Mechanism.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2021

Event-Triggered Formation Control and Leader Tracking With Resilience to Byzantine Adversaries: A Reputation-Based Approach.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2021

Totally Asynchronous Large-Scale Quadratic Programming: Regularization, Convergence Rates, and Parameter Selection.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2021

Nonasymptotic Connectivity of Random Graphs and Their Unions.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2021

A Decentralized Multi-objective Optimization Algorithm.

[BibT_eX]

[DOI]

Maude J. Blondin

J. Optim. Theory Appl., 2021

Privacy-Preserving Teacher-Student Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Exponentially Converging Distributed Gradient Descent with Intermittent Communication via Hybrid Methods.

[BibT_eX]

[DOI]

Dawn M. Hustig-Schultz

Ricardo G. Sanfelice

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Edge Differential Privacy for Algebraic Connectivity of Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Stability and Sustainability of a Networked Resource Consumption Model.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2020

Predictive resource allocation for flexible loads with local QoS.

[BibT_eX]

[DOI]

Austin R. Coffman

Prabir Barooah

CoRR, 2020

Towards Totally Asynchronous Primal-Dual Convex Optimization in Blocks.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Differentially Private Formation Control.

[BibT_eX]

[DOI]

Calvin Hawkins

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Privacy-Preserving Policy Synthesis in Markov Decision Processes.

[BibT_eX]

[DOI]

Parham Gohari

Ufuk Topcu

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Resource allocation with local QoS: Flexible loads in the power grid.

[BibT_eX]

[DOI]

Austin R. Coffman

Prabir Barooah

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.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

Error Bounds and Guidelines for Privacy Calibration in Differentially Private Kalman Filtering.

[BibT_eX]

[DOI]

Kasra Yazdani

Proceedings of the 2020 American Control Conference, 2020

The Dirichlet Mechanism for Differential Privacy on the Unit Simplex.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

An Algorithm for Multi-Objective Multi-Agent Optimization.

[BibT_eX]

[DOI]

Maude J. Blondin

Proceedings of the 2020 American Control Conference, 2020

Differentially Private Controller Synthesis With Metric Temporal Logic Specifications.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

2019

Bidirectional Information Flow and the Roles of Privacy Masks in Cloud-Based Control.

[BibT_eX]

[DOI]

Ali Reza Pedram

Takashi Tanaka

Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Totally Asynchronous Distributed Quadratic Programming with Independent Stepsizes and Regularizations.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Design of Sustainable Resource Consumption Networks.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Towards Differential Privacy for Symbolic Systems.

[BibT_eX]

[DOI]

Austin Jones

Kevin Leahy

Proceedings of the 2019 American Control Conference, 2019

Trust-Driven Privacy in Human-Robot Interactions.

[BibT_eX]

[DOI]

Tina Setter

Kingsley Fregene

Proceedings of the 2019 American Control Conference, 2019

2018

Cloud-Enabled Differentially Private Multiagent Optimization With Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2018

Stability of Leaderless Resource Consumption Networks.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Asynchronous Distributed Optimization with Heterogeneous Regularizations and Normalizations.

[BibT_eX]

[DOI]

Stefan Hochhaus

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Privacy in Feedback: The Differentially Private LQG.

[BibT_eX]

[DOI]

Austin Jones

Kevin Leahy

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Mixed centralized/decentralized coordination protocols for multi-agent systems.

[BibT_eX]

[DOI]

PhD thesis, 2017

Asynchronous Multiagent Primal-Dual Optimization.

[BibT_eX]

[DOI]

Angelia Nedic

IEEE Trans. Autom. Control., 2017

On the connectivity of unions of random graphs.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Convergence rate estimates for consensus over random graphs.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

2016

Differentially private objective functions in distributed cloud-based optimization.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Switched-mode systems: gradient-descent algorithms with Armijo step sizes.

[BibT_eX]

[DOI]

Yorai Wardi

Discret. Event Dyn. Syst., 2015

Cloud-based centralized/decentralized multi-agent optimization with communication delays.

[BibT_eX]

[DOI]

Angelia Nedic

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Differentially private cloud-based multi-agent optimization with constraints.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2014

Cloud-based optimization: A quasi-decentralized approach to multi-agent coordination.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Mode scheduling under dwell time constraints in switched-mode systems.

[BibT_eX]

[DOI]