Yan Huang

According to our database, Yan Huang authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

DP-CSGP: Differentially Private Stochastic Gradient Push with Compressed Communication.

Zehan Zhu, Heng Zhao, Yan Huang, Joey Tianyi Zhou, Shouling Ji, Jinming Xu

CoRR, December, 2025

Bandwidth-Aware Network Topology Optimization for Decentralized Learning.

Yipeng Shen, Zehan Zhu, Yan Huang, Changzhi Yan, Cheng Zhuo, Jinming Xu

CoRR, December, 2025

Beyond Scaffold: A Unified Spatio-Temporal Gradient Tracking Method.

Yan Huang, Jinming Xu, Jiming Chen, Karl Henrik Johansson

CoRR, December, 2025

Pareto-optimal Tradeoffs Between Communication and Computation with Flexible Gradient Tracking.

Yan Huang, Jinming Xu, Li Chai, Jiming Chen, Karl Henrik Johansson

CoRR, September, 2025

CoCoL: A Communication Efficient Decentralized Collaborative Method for Multi-Robot Systems.

Jiaxin Huang, Yan Huang, Yixian Zhao, Wenchao Meng, Jinming Xu

CoRR, August, 2025

Dyn-D²P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee.

Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu

CoRR, May, 2025

Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis.

Youcheng Niu, Jinming Xu, Ying Sun, Yan Huang, Li Chai

J. Mach. Learn. Res., 2025

CoCoL: A Communication Efficient Decentralized Collaborative Learning Method for Multi-Robot Systems.

Jiaxin Huang, Yan Huang, Yixian Zhao, Wenchao Meng, Jinming Xu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee.

Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Decentralized Riemannian Quasi-Newton Method on Compact Submanifolds.

Yixian Zhao, Yan Huang, Jinming Xu

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

Distributed Personalized Optimization on Riemannian Manifolds with Gradient Tracking.

Yixian Zhao, Yan Huang, Haochang Zhang, Jinming Xu

Proceedings of the 2025 American Control Conference, 2025

2024

Distributed Optimization With Personalization: A Flexible Algorithmic Framework.

Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai, Li Chai

IEEE Trans. Autom. Control., October, 2024

R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking Over General Topology.

Zehan Zhu, Ye Tian, Yan Huang, Jinming Xu, Shibo He

IEEE Trans. Signal Inf. Process. over Networks, 2024

Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes.

Yan Huang, Xiang Li, Yipeng Shen, Niao He, Jinming Xu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds.

Zehan Zhu, Yan Huang, Xin Wang, Jinming Xu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Robust Fully-Asynchronous Methods for Distributed Training over General Architecture.

Zehan Zhu, Ye Tian, Yan Huang, Jinming Xu, Shibo He

CoRR, 2023

Asynchronous Byzantine-Robust Stochastic Aggregation with Variance Reduction for Distributed Learning.

Zehan Zhu, Yan Huang, Chengcheng Zhao, Jinming Xu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A Loopless Distributed Algorithm for Personalized Bilevel Optimization.

Youcheng Niu, Ying Sun, Yan Huang, Jinming Xu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach.

Yan Huang, Jinming Xu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology.

Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu

Proceedings of the International Conference on Machine Learning, 2022

Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks.

Yan Huang, Jinming Xu, Wenchao Meng, Hoi-To Wai

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Delay Compensation-Based Time Synchronization Under Random Delays: Algorithm and Experiment.

Yu-Ping Tian, Shaoheng Chun, Gan Chen, Siheng Zong, Yan Huang, Bo Wang

IEEE Trans. Control. Syst. Technol., 2021

2019

Detection Performance in m-ary Relay Trees with Link Failures and Unreliable Communications.

Yan Huang, Yu-Ping Tian

Proceedings of the 15th IEEE International Conference on Control and Automation, 2019