Changxin Liu

Changxin Liu

University of Victoria

H-index: 12

North America-Canada

About Changxin Liu

Changxin Liu, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Victoria, specializes in the field of Cyber-physical systems, Distributed optimization, Model predictive control.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Distributed empirical risk minimization with differential privacy

Enhancing Privacy in Federated Learning through Local Training

Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers

A Robust Distributed MPC Framework for Multi-Agent Consensus With Communication Delays

Achieving violation-free distributed optimization under coupling constraints

Resilient distributed optimization under mobile malicious attacks

Asynchronous Distributed Optimization with Delay-free Parameters

Changxin Liu Information

University

Position

PhD candidate

Citations(all)

633

Citations(since 2020)

595

Cited By

205

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

University of Victoria

Google Scholar

View Google Scholar Profile

Changxin Liu Skills & Research Interests

Cyber-physical systems

Distributed optimization

Model predictive control

Top articles of Changxin Liu

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2404.07571

Xiao Tan

Changxin Liu

Karl H Johansson

Dimos V Dimarogonas

2024/4/11

Distributed empirical risk minimization with differential privacy

Automatica

Changxin Liu

Karl H Johansson

Yang Shi

2024/4/1

Enhancing Privacy in Federated Learning through Local Training

arXiv preprint arXiv:2403.17572

Nicola Bastianello

Changxin Liu

Karl H Johansson

2024/3/26

Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers

Proceedings of the AAAI Conference on Artificial Intelligence

Yuhao Yi

Ronghui You

Hong Liu

Changxin Liu

Yuan Wang

...

2024/3/24

A Robust Distributed MPC Framework for Multi-Agent Consensus With Communication Delays

IEEE Transactions on Automatic Control

Henglai Wei

Changxin Liu

Yang Shi

2024/4/16

Achieving violation-free distributed optimization under coupling constraints

arXiv preprint arXiv:2404.07609

Changxin Liu

Xiao Tan

Xuyang Wu

Dimos V Dimarogonas

Karl H Johansson

2024/4/11

Resilient distributed optimization under mobile malicious attacks

IFAC-PapersOnLine

Yuan Wang

Changxin Liu

Hideaki Ishii

Karl Henrik Johansson

2023/1/1

Asynchronous Distributed Optimization with Delay-free Parameters

arXiv preprint arXiv:2312.06508

Xuyang Wu

Changxin Liu

Sindri Magnusson

Mikael Johansson

2023/12/11

Rate analysis of dual averaging for nonconvex distributed optimization

IFAC-PapersOnLine

Changxin Liu

Xuyang Wu

Xinlei Yi

Yang Shi

Karl H Johansson

2023/1/1

Constrained Optimization with Decision-Dependent Distributions

arXiv preprint arXiv:2310.02384

Zifan Wang

Changxin Liu

Thomas Parisini

Michael M Zavlanos

Karl H Johansson

2023/10/3

Delay-agnostic asynchronous coordinate update algorithm

Xuyang Wu

Changxin Liu

Sindri Magnusson

Mikael Johansson

2023/5/15

Differentially private set-based estimation using zonotopes

Mohammed M Dawoud

Changxin Liu

Amr Alanwar

Karl H Johansson

2023/6/13

Secure state estimation against sparse attacks on a time-varying set of sensors

IFAC-PapersOnLine

Zishuo Li

Muhammad Umar B Niazi

Changxin Liu

Yilin Mo

Karl H Johansson

2023/1/1

Delay-agnostic asynchronous distributed optimization

Xuyang Wu

Changxin Liu

Sindri Magnusson

Mikael Johansson

2023/12/13

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

Automatica

Kunwu Zhang

Changxin Liu

Yang Shi

2022/8/1

Improving Fairness for Data Valuation in Horizontal Federated Learning

Zhenan Fan

Huang Fang

Zirui Zhou

Jian Pei

Michael P Friedlander

...

2022/5/9

Accelerated dual averaging methods for decentralized constrained optimization

IEEE Transactions on Automatic Control

Changxin Liu

Yang Shi

Huiping Li

Wenli Du

2022/5/6

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

Yulong Gao

Changxin Liu

Karl H Johansson

2022/12/6

Decentralized composite optimization in stochastic networks: A dual averaging approach with linear convergence

IEEE Transactions on Automatic Control

Changxin Liu

Zirui Zhou

Jian Pei

Yong Zhang

Yang Shi

2022/9/27

Private Stochastic Dual Averaging for Decentralized Empirical Risk Minimization

IFAC-PapersOnLine

Changxin Liu

Karl H Johansson

Yang Shi

2022/1/1

See List of Professors in Changxin Liu University(University of Victoria)

Co-Authors

H-index: 110
Jian Pei

Jian Pei

Simon Fraser University

H-index: 100
Karl H. Johansson

Karl H. Johansson

Kungliga Tekniska högskolan

H-index: 81
Yang Shi, Fellow of CAE, EIC, IEEE, ASME, CSME

Yang Shi, Fellow of CAE, EIC, IEEE, ASME, CSME

University of Victoria

H-index: 55
Mikael Johansson

Mikael Johansson

Kungliga Tekniska högskolan

H-index: 48
Thomas Parisini

Thomas Parisini

Imperial College London

H-index: 41
Hideaki Ishii

Hideaki Ishii

Tokyo Institute of Technology

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