Changxin Liu

IEEE Trans. Autom. Control., August, 2025

A Continuous-Time Violation-Free Multiagent Optimization Algorithm and Its Applications to Safe Distributed Control.

[BibT_eX]

[DOI]

Xiao Tan

Dimos V. Dimarogonas

IEEE Trans. Autom. Control., August, 2025

Decentralized Optimization with Amplified Privacy via Efficient Communication.

[BibT_eX]

[DOI]

Wei Huo

Kemi Ding

Ling Shi

CoRR, June, 2025

Distributed model predictive control without terminal cost under inexact distributed optimization.

[BibT_eX]

[DOI]

CoRR, April, 2025

2024

A Robust Distributed MPC Framework for Multiagent Consensus With Communication Delays.

[BibT_eX]

[DOI]

Henglai Wei

IEEE Trans. Autom. Control., November, 2024

Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering.

[BibT_eX]

[DOI]

Yanghao Li

Yuhao Yi

CoRR, 2024

Privacy-Preserving Set-Based Estimation Using Differential Privacy and Zonotopes.

[BibT_eX]

[DOI]

Mohammed M. Dawoud

Amr Alanwar

CoRR, 2024

A survey on secure decentralized optimization and learning.

[BibT_eX]

[DOI]

CoRR, 2024

Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy.

[BibT_eX]

[DOI]

Wei Huo

Kemi Ding

Ling Shi

CoRR, 2024

Achieving violation-free distributed optimization under coupling constraints.

[BibT_eX]

[DOI]

CoRR, 2024

A continuous-time violation-free multi-agent optimization algorithm and its applications to safe distributed control.

[BibT_eX]

[DOI]

Xiao Tan

Dimos V. Dimarogonas

CoRR, 2024

Enhancing Privacy in Federated Learning through Local Training.

[BibT_eX]

[DOI]

Nicola Bastianello

CoRR, 2024

Distributed empirical risk minimization with differential privacy.

[BibT_eX]

[DOI]

Autom., 2024

2023

Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., August, 2023

Accelerated Dual Averaging Methods for Decentralized Constrained Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2023

Asynchronous Distributed Optimization with Delay-free Parameters.

[BibT_eX]

[DOI]

CoRR, 2023

Delay-agnostic Asynchronous Coordinate Update Algorithm.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Differentially Private Set-Based Estimation Using Zonotopes.

[BibT_eX]

[DOI]

Mohammed M. Dawoud

Amr Alanwar

Proceedings of the European Control Conference, 2023

Delay-Agnostic Asynchronous Distributed Optimization.

[BibT_eX]

[DOI]

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

2022

Secure State Estimation against Sparse Attacks on a Time-varying Set of Sensors.

[BibT_eX]

[DOI]

Zishuo Li

Muhammad Umar B. Niazi

Yilin Mo

CoRR, 2022

A Robust Distributed Model Predictive Control Framework for Consensus of Multi-Agent Systems with Input Constraints and Varying Delays.

[BibT_eX]

[DOI]

Henglai Wei

CoRR, 2022

Self-triggered adaptive model predictive control of constrained nonlinear systems: A min-max approach.

[BibT_eX]

[DOI]

Kunwu Zhang

Autom., 2022

Improving Fairness for Data Valuation in Horizontal Federated Learning.

[BibT_eX]

[DOI]

Michael P. Friedlander

Yong Zhang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Robust Risk-Aware Model Predictive Control of Linear Systems with Bounded Disturbances.

[BibT_eX]

[DOI]

Yulong Gao

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

2021

Resource-Aware Exact Decentralized Optimization Using Event-Triggered Broadcasting.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Improving Fairness for Data Valuation in Federated Learning.

[BibT_eX]

[DOI]

Michael P. Friedlander

Yong Zhang

CoRR, 2021

Achieving Model Fairness in Vertical Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Stabilizing terminal constraint-free nonlinear MPC via sliding mode-based terminal cost.

[BibT_eX]

[DOI]

Autom., 2021

Towards Fair Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Distributed Event-Triggered Gradient Method for Constrained Convex Minimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Codesign of Event Trigger and Feedback Policy in Robust Model Predictive Control.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Distributed Event-Triggered Model Predictive Control of Coupled Nonlinear Systems.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2020

A unitary distributed subgradient method for multi-agent optimization with different coupling sources.

[BibT_eX]

[DOI]

Autom., 2020

2019

Computationally Efficient Adaptive Model Predictive Control for Constrained Linear Systems with Parametric Uncertainties.

[BibT_eX]

[DOI]

Kunwu Zhang

Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Distributed dual subgradient method with double averaging: Application to QoS optimization in wireless networks.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Event-triggered Broadcasting for Distributed Smooth Optimization.

[BibT_eX]

[DOI]

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

2018

Aperiodic Robust Model Predictive Control for Constrained Continuous-Time Nonlinear Systems: An Event-Triggered Approach.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Robust self-triggered min-max model predictive control for discrete-time nonlinear systems.

[BibT_eX]

[DOI]

Autom., 2018

2017

Event-triggered distributed receding horizon control of dynamically coupled linear systems.

[BibT_eX]

[DOI]