Deming Yuan

Orcid: 0000-0003-4371-5105

According to our database1, Deming Yuan authored at least 45 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Dynamic Regret of Distributed Online Saddle Point Problem.
IEEE Trans. Autom. Control., April, 2024

Distributed Online Stochastic-Constrained Convex Optimization With Bandit Feedback.
IEEE Trans. Cybern., January, 2024

Distributed zeroth-order optimization: Convergence rates that match centralized counterpart.
Autom., January, 2024

Distributed Online Mirror Descent With Delayed Subgradient and Event-Triggered Communications.
IEEE Trans. Netw. Sci. Eng., 2024

Distributed Solvers for Network Linear Equations with Scalarized Compression.
CoRR, 2024

2023
Distributed online bandit linear regressions with differential privacy.
J. Frankl. Inst., November, 2023

Event-Triggered Distributed Stochastic Mirror Descent for Convex Optimization.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Homogeneous Domination Approach to Global Stabilization of Stochastic Continuous Nonlinear Time-Delay Systems With SISS-Like Conditions.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Distributed Stochastic Constrained Composite Optimization Over Time-Varying Network With a Class of Communication Noise.
IEEE Trans. Cybern., June, 2023

Event-triggered distributed online convex optimization with delayed bandit feedback.
Appl. Math. Comput., May, 2023

Push-Sum Distributed Dual Averaging for Convex Optimization in Multiagent Systems With Communication Delays.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023

Sliding mode control for networked control systems under DoS attacks via an event-triggered scheme.
J. Frankl. Inst., March, 2023

Quantized Distributed Online Projection-Free Convex Optimization.
IEEE Control. Syst. Lett., 2023

Riemannian Optimistic Algorithms.
CoRR, 2023

2022
Push-Sum Distributed Online Optimization With Bandit Feedback.
IEEE Trans. Cybern., 2022

Distributed Online Optimization With Long-Term Constraints.
IEEE Trans. Autom. Control., 2022

Distributed Randomized Gradient-Free Mirror Descent Algorithm for Constrained Optimization.
IEEE Trans. Autom. Control., 2022

Distributed online convex optimization with a bandit primal-dual mirror descent push-sum algorithm.
Neurocomputing, 2022

Fixed-Time Lyapunov Criteria and State-Feedback Controller Design for Stochastic Nonlinear Systems.
IEEE CAA J. Autom. Sinica, 2022

Distributed quantized mirror descent for strongly convex optimization over time-varying directed graph.
Sci. China Inf. Sci., 2022

Distributed online bandit optimization under random quantization.
Autom., 2022

Distributed Online Convex Optimization with Compressed Communication.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Stochastic Strongly Convex Optimization via Distributed Epoch Stochastic Gradient Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2021

Distributed Online Linear Regressions.
IEEE Trans. Inf. Theory, 2021

Event-Based Extended Dissipative State Estimation for Memristor-Based Markovian Neural Networks With Hybrid Time-Varying Delays.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Distributed Mirror Descent for Online Composite Optimization.
IEEE Trans. Autom. Control., 2021

Cooperative convex optimization with subgradient delays using push-sum distributed dual averaging.
J. Frankl. Inst., 2021

Push-sum Distributed Dual Averaging for Convex Optimization in Multi-agent Systems with Communication Delays.
CoRR, 2021

Dynamics of Opinions with Bounded Confidence in Social Cliques: Emergence of Fluctuations.
CoRR, 2021

A novel ε-dependent Lyapunov function and its application to singularly perturbed systems.
Autom., 2021

2020
Distributed Stochastic Optimization over Time-Varying Noisy Network.
CoRR, 2020

2019
Distributed Online Linear Regression.
CoRR, 2019

2018
An Adaptive Primal-Dual Subgradient Algorithm for Online Distributed Constrained Optimization.
IEEE Trans. Cybern., 2018

Optimal distributed stochastic mirror descent for strongly convex optimization.
Autom., 2018

2016
Zeroth-Order Method for Distributed Optimization With Approximate Projections.
IEEE Trans. Neural Networks Learn. Syst., 2016

Regularized Primal-Dual Subgradient Method for Distributed Constrained Optimization.
IEEE Trans. Cybern., 2016

On Convergence Rate of Distributed Stochastic Gradient Algorithm for Convex Optimization with Inequality Constraints.
SIAM J. Control. Optim., 2016

Adaptive neural tracking control of a class of MIMO pure-feedback time-delay nonlinear systems with input saturation.
Int. J. Syst. Sci., 2016

2015
Randomized Gradient-Free Method for Multiagent Optimization Over Time-Varying Networks.
IEEE Trans. Neural Networks Learn. Syst., 2015

2014
Inexact dual averaging method for distributed multi-agent optimization.
Syst. Control. Lett., 2014

2012
Distributed discrete-time coordinated tracking with Markovian switching topologies.
Syst. Control. Lett., 2012

Distributed dual averaging method for multi-agent optimization with quantized communication.
Syst. Control. Lett., 2012

2011
Distributed Primal-Dual Subgradient Method for Multiagent Optimization via Consensus Algorithms.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Distributed discrete-time coordinated tracking for networked single-integrator agents under a Markovian switching topology.
Proceedings of the American Control Conference, 2011

2010
Distributed average consensus via gossip algorithm with real-valued and quantized data for 0q.
Syst. Control. Lett., 2010


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