Changxin Liu
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Changxin Liu (刘昌鑫) |
Bio
I am a postdoc researcher with the Division of Decision and Control Systems at KTH Royal Institute of Technology, Stockholm, Sweden, working with Prof. Karl H. Johansson. Before moving to Sweden, I received my Ph.D. in mechanical engineering under the supervision of Prof. Yang Shi from the University of Victoria, BC, Canada, in 2021.
Research Interests
I am interested in the control, optimization, and learning of network systems. My current research focuses on the following two areas:
Security and Privacy in Distributed Machine Learning
Distributed Optimization for Control of Dynamical Systems
News
09/2023: Invited talk at Peking University, China.
04/2023: Our work titled “Delay-agnostic asynchronous coordinate update algorithm” was accepted to ICML 2023.
04/2023: Invited talk at BUAA University, China.
03/2023: Our work on private set-based estimation was accepted to ECC 2023.
03/2023: Our three works were accepted to IFAC World Congress 2023.
Rate analysis of dual averaging for nonconvex distributed optimization
Secure state estimation against sparse attacks on a time-varying set of sensors
Resilient distributed optimization under mobile malicious attacks
02/2023: I was awarded the NSERC Postdoctoral Fellowship.
07/2022: Our work on risk-aware MPC was accepted to IEEE CDC 2022.
07/2022: I attended the IFAC NecSys 2022 in Zurich.
06/2022: Invited talk at Zhejiang University, China.