Xu, Jinming

6 publications

JMLR 2025 Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis Youcheng Niu, Jinming Xu, Ying Sun, Yan Huang, Li Chai

IJCAI 2025 Dyn-D2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu

NeurIPS 2024 Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes Yan Huang, Xiang Li, Yipeng Shen, Niao He, Jinming Xu

IJCAI 2024 PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds Zehan Zhu, Yan Huang, Xin Wang, Jinming Xu

ICML 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

AISTATS 2020 Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari