2025
Distributed Constrained Online Nonconvex Optimization with Compressed Communication.
CoRR, March, 2025
Decentralized Federated Learning Algorithm Under Adversary Eavesdropping.
IEEE CAA J. Autom. Sinica, February, 2025
2024
Quantized Zeroth-Order Gradient Tracking Algorithm for Distributed Nonconvex Optimization Under Polyak-Łojasiewicz Condition.
IEEE Trans. Cybern., October, 2024
Distributed Nonconvex Optimization With Event-Triggered Communication.
IEEE Trans. Autom. Control., April, 2024
Semiglobal Suboptimal Output Regulation for Heterogeneous Multi-Agent Systems With Input Saturation via Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Online Optimization Under Randomly Corrupted Attacks.
IEEE Trans. Signal Process., 2024
Distributed online constrained convex optimization with event-triggered communication.
Eur. J. Control, 2024
Reduced Network Cumulative Constraint Violation for Distributed Bandit Convex Optimization under Slater Condition.
CoRR, 2024
Risk-averse Learning with Non-Stationary Distributions.
CoRR, 2024
Neural optimal controller for stochastic systems via pathwise HJB operator.
CoRR, 2024
Compressed Distributed Zeroth-Order Gradient Tracking for Nonconvex Optimization.
Proceedings of the 18th IEEE International Conference on Control & Automation, 2024
A Communication-Efficient Stochastic Gradient Descent Algorithm for Distributed Nonconvex Optimization.
Proceedings of the 18th IEEE International Conference on Control & Automation, 2024
2023
Communication Compression for Distributed Nonconvex Optimization.
IEEE Trans. Autom. Control., September, 2023
Predefined-time distributed multiobjective optimization for network resource allocation.
Sci. China Inf. Sci., July, 2023
Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization.
IEEE Trans. Autom. Control., May, 2023
Sublinear and Linear Convergence of Modified ADMM for Distributed Nonconvex Optimization.
IEEE Trans. Control. Netw. Syst., March, 2023
Asymptotic Analysis of Federated Learning Under Event-Triggered Communication.
IEEE Trans. Signal Process., 2023
Dynamic Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization with Event-Triggered Communication.
CoRR, 2023
Distributed Online Convex Optimization with Adversarial Constraints: Reduced Cumulative Constraint Violation Bounds under Slater's Condition.
CoRR, 2023
2022
Distributed Online Convex Optimization With an Aggregative Variable.
IEEE Trans. Control. Netw. Syst., 2022
Linear Convergence of First- and Zeroth-Order Primal-Dual Algorithms for Distributed Nonconvex Optimization.
IEEE Trans. Autom. Control., 2022
A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization.
IEEE CAA J. Autom. Sinica, 2022
Linear Convergent Distributed Nash Equilibrium Seeking with Compression.
CoRR, 2022
Zeroth-order algorithms for stochastic distributed nonconvex optimization.
Autom., 2022
Quantized Distributed Nonconvex Optimization with Linear Convergence.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Distributed Bandit Online Convex Optimization With Time-Varying Coupled Inequality Constraints.
IEEE Trans. Autom. Control., 2021
Distributed Online Optimization for Multi-Agent Networks With Coupled Inequality Constraints.
IEEE Trans. Autom. Control., 2021
DeFed: A Principled Decentralized and Privacy-Preserving Federated Learning Algorithm.
CoRR, 2021
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Distributed Optimization and Control: Primal-Dual, Online, and Event-Triggered Algorithms.
PhD thesis, 2020
Distributed Online Convex Optimization With Time-Varying Coupled Inequality Constraints.
IEEE Trans. Signal Process., 2020
Distributed least squares solver for network linear equations.
Autom., 2020
Linear Convergence for Distributed Optimization Without Strong Convexity.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
A Distributed Primal-Dual Algorithm for Bandit Online Convex Optimization with Time-Varying Coupled Inequality Constraints.
Proceedings of the 2020 American Control Conference, 2020
2019
Nonlinear Consensus Protocols With Applications to Quantized Communication and Actuation.
IEEE Trans. Control. Netw. Syst., 2019
Dynamic Event-Triggered and Self-Triggered Control for Multi-agent Systems.
IEEE Trans. Autom. Control., 2019
Event-Triggered Control for Consensus of Multi-Agent Systems with Nonlinear Output and Directed Topologies.
CoRR, 2019
Distributed event-triggered control for global consensus of multi-agent systems with input saturation.
Autom., 2019
A survey of distributed optimization.
Annu. Rev. Control., 2019
Computational Convergence Analysis of Distributed Optimization Algorithms for Directed Graphs.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
A Distributed Algorithm for Online Convex Optimization with Time-Varying Coupled Inequality Constraints.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Distributed Optimization for Second-Order Multi-Agent Systems with Dynamic Event-Triggered Communication.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Synchronization of Kuramoto Oscillators in a Bidirectional Frequency-Dependent Tree Network.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Distributed Robust Dynamic Average Consensus with Dynamic Event-Triggered Communication.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Distributed Optimization with Dynamic Event-Triggered Mechanisms.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Pull-Based Distributed Event-Triggered Consensus for Multiagent Systems With Directed Topologies.
IEEE Trans. Neural Networks Learn. Syst., 2017
Distributed dynamic event-triggered control for multi-agent systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
Stability of Analytic Neural Networks With Event-Triggered Synaptic Feedbacks.
IEEE Trans. Neural Networks Learn. Syst., 2016
Formation Control for Multi-Agent Systems with Connectivity Preservation and Event-Triggered Controllers.
CoRR, 2016
Self-triggered control for multi-agent systems with quantized communication or sensing.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2014
Pull-Based Distributed Event-triggered Consensus for Multi-agent Systems with Directed Topologies.
CoRR, 2014
Stability of Hopfield neural networks with event-triggered feedbacks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Optimizing Active Cyber Defense.
Proceedings of the Decision and Game Theory for Security - 4th International Conference, 2013