Xinlei Yi

Orcid: 0000-0003-4299-0471

According to our database1, Xinlei Yi authored at least 49 papers between 2013 and 2024.

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Bibliography

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

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


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