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2101.08925
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Differentially Private SGD with Non-Smooth Losses
Applied and Computational Harmonic Analysis (ACHA), 2021
22 January 2021
Puyu Wang
Yunwen Lei
Yiming Ying
Hai Zhang
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Papers citing
"Differentially Private SGD with Non-Smooth Losses"
16 / 16 papers shown
Balancing Utility and Privacy: Dynamically Private SGD with Random Projection
Zhanhong Jiang
Md Zahid Hasan
Nastaran Saadati
Aditya Balu
Chao Liu
Soumik Sarkar
264
1
0
11 Sep 2025
Privacy Auditing Synthetic Data Release through Local Likelihood Attacks
Joshua Ward
Chi-Hua Wang
Guang Cheng
161
3
0
28 Aug 2025
Enhancing DP-SGD through Non-monotonous Adaptive Scaling Gradient Weight
Tao Huang
Qingyu Huang
Xin Shi
Jiayang Meng
Guolong Zheng
Xu Yang
Xun Yi
264
1
0
05 Nov 2024
Noise is All You Need: Private Second-Order Convergence of Noisy SGD
Dmitrii Avdiukhin
Michael Dinitz
Chenglin Fan
G. Yaroslavtsev
312
1
0
09 Oct 2024
Tangent Transformers for Composition, Privacy and Removal
International Conference on Learning Representations (ICLR), 2023
Tian Yu Liu
Aditya Golatkar
Stefano Soatto
332
15
0
16 Jul 2023
Differentially Private Learning with Per-Sample Adaptive Clipping
AAAI Conference on Artificial Intelligence (AAAI), 2022
Tianyu Xia
Shuheng Shen
Su Yao
Xinyi Fu
Ke Xu
Xiaolong Xu
Xingbo Fu
592
33
0
01 Dec 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods
Neural Information Processing Systems (NeurIPS), 2022
Puyu Wang
Yunwen Lei
Yiming Ying
Ding-Xuan Zhou
349
22
0
16 Sep 2022
Differentially Private Stochastic Gradient Descent with Low-Noise
Neurocomputing (Neurocomputing), 2022
Puyu Wang
Yunwen Lei
Yiming Ying
Ding-Xuan Zhou
FedML
331
7
0
09 Sep 2022
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Paul Mangold
A. Bellet
Joseph Salmon
Marc Tommasi
552
6
0
04 Jul 2022
Normalized/Clipped SGD with Perturbation for Differentially Private Non-Convex Optimization
Xiaodong Yang
Huishuai Zhang
Wei Chen
Tie-Yan Liu
299
42
0
27 Jun 2022
Sharper Utility Bounds for Differentially Private Models
International Conference on Information and Knowledge Management (CIKM), 2022
Yilin Kang
Yong Liu
Jian Li
Weiping Wang
FedML
276
3
0
22 Apr 2022
Stability and Generalization of Differentially Private Minimax Problems
Yilin Kang
Yong Liu
Jian Li
Weiping Wang
331
3
0
11 Apr 2022
Differentially Private SGDA for Minimax Problems
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Zhenhuan Yang
Shu Hu
Yunwen Lei
Kush R. Varshney
Siwei Lyu
Yiming Ying
397
25
0
22 Jan 2022
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
International Conference on Machine Learning (ICML), 2021
Paul Mangold
A. Bellet
Joseph Salmon
Marc Tommasi
604
16
0
22 Oct 2021
Stability and Generalization for Randomized Coordinate Descent
Puyu Wang
Liang Wu
Yunwen Lei
277
7
0
17 Aug 2021
Improved Learning Rates for Stochastic Optimization
Shaojie Li
Yong Liu
Yong Liu
415
14
0
19 Jul 2021
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