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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
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Posts
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portfolio
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publications
Detection Performance in m-ary Relay Trees with Link Failures and Unreliable Communications
Published in 2019 IEEE 15th International Conference on Control and Automation (ICCA), 2019
Yan Huang and Yu-Ping Tian
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Delay Compensation-Based Time Synchronization Under Random Delays: Algorithm and Experiment
Published in IEEE Transactions on Control Systems Technology, 2020
Yu-Ping Tian, Shaoheng Chun, Gan Chen, Siheng Zong, Yan Huang and Bo Wang
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Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
Published in The 39th International Conference on Machine Learning, 2022
Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu
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Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks
Published in 2022 IEEE 61st Conference on Decision and Control (CDC), 2022
Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai
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On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach
Published in 2023 IEEE 62nd Conference on Decision and Control (CDC), 2023
Yan Huang and Jinming Xu
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A Loopless Distributed Algorithm for Personalized Bilevel Optimization
Published in 2023 IEEE 62nd Conference on Decision and Control (CDC), 2023
Youcheng Niu, Ying Sun, Yan Huang and Jinming Xu
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Asynchronous Byzantine-Robust Stochastic Aggregation with Variance Reduction for Distributed Learning
Published in 2023 IEEE 62nd Conference on Decision and Control (CDC), 2023
Zehan Zhu, Yan Huang, Chengcheng Zhao and Jinming Xu
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Distributed Optimization with Personalization: A Flexible Algorithmic Framework
Published in IEEE Transactions on Automatic Control (TAC), full paper, 2024
Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai and Li Chai
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PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds
Published in International Joint Conference on Artificial Intelligence (IJCAI), 2024
Zehan Zhu, Yan Huang, Xin Wang, Jinming Xu
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R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking over General Topology
Published in IEEE Transactions on Signal and Information Processing over Networks, 2024
Zehan Zhu, Ye Tian, Yan Huang, Jinming Xu, Shibo He
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Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
Published in NeurIPS, 2024
Yan Huang, Xiang Li, Yipeng Shen, Niao He, Jinming Xu
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talks
Distributed Stochastic Optimization: Heterogeneous Datasets and Model
Published:
Distributed Stochastic Optimization: Heterogeneous Datasets and Model. Yan Huang, 2022, Hangzhou
teaching
Principles of Automatic Control
Undergraduate course, College of Control Science and Engineering，Zhejiang University, 2021
This course provides a systematic introduction to the theory of automatic control of continuous-time linear time-invariant systems, including the basic components of an automated control system and the basic concepts, analyses, corrections and integrated design methods of control systems.
Modern Control Theory
Undergraduate course, College of Control Science and Engineering，Zhejiang University, 2021
This course is a follow-up to Automatic Control Theory and provides a systematic introduction to the basic components of linear time-invariant discrete-time automatic control theory, the basic concepts of linear discrete-time control systems, analysis, calibration and synthesis design methods, state-space based analysis and synthesis of linear systems, and an introduction to the basic concepts and methods of non-linear systems analysis.
Distributed Control and Optimization
Postgraduate course, College of Control Science and Engineering，Zhejiang University, 2022
This course focuses on the latest theoretical and technological advances in the direction of distributed control and optimisation of large-scale information-physical systems, aiming to provide current research students and senior undergraduates with an understanding of the theoretical and technological directions of the relevant frontiers, as well as a grasp of the basic theoretical tools and analytical methods for large-scale system control and optimisation.