Xiang, Zihang

7 publications

TMLR 2025 Beyond Ordinary Lipschitz Constraints: Differentially Private Optimization with TNC Difei Xu, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang
ICLRW 2025 Beyond Ordinary Lipschitz Constraints: Differentially Private Optimization with TNC Difei Xu, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang
ECML-PKDD 2025 Differentially Private Sparse Linear Regression with Heavy-Tailed Responses Xizhi Tian, Meng Ding, Touming Tao, Zihang Xiang, Di Wang
AAAI 2025 Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization Ruijia Zhang, Mingxi Lei, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang
NeurIPS 2025 Private Training Large-Scale Models with Efficient DP-SGD Liangyu Wang, Junxiao Wang, Jie Ren, Zihang Xiang, David E. Keyes, Di Wang
NeurIPSW 2024 FlashDP: Memory-Efficient and High-Throughput DP-SGD Training for Large Language Models Liangyu Wang, Junxiao Wang, Jie Ren, Zihang Xiang, David E. Keyes, Di Wang
AISTATS 2023 Privacy-Preserving Sparse Generalized Eigenvalue Problem Lijie Hu, Zihang Xiang, Jiabin Liu, Di Wang