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Gradient Perturbation is Underrated for Differentially Private Convex Optimization

26 November 2019

Huishuai Zhang

Papers citing "Gradient Perturbation is Underrated for Differentially Private Convex Optimization"

20 / 20 papers shown

Title
Enhancing DP-SGD through Non-monotonous Adaptive Scaling Gradient Weight Tao Huang Qingyu Huang Xin Shi Jiayang Meng Guolong Zheng Xu Yang Xun Yi 65 0 0 05 Nov 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 153 5 0 15 Sep 2024
MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation Ziheng Wang Xinhe Li H. Momma Stefan Köpsell CML 58 0 0 23 Jul 2024
Banded Square Root Matrix Factorization for Differentially Private Model Training Nikita P. Kalinin Christoph H. Lampert 64 7 0 22 May 2024
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data Yvonne Zhou Mingyu Liang Ivan Brugere Dana Dachman-Soled Danial Dervovic Antigoni Polychroniadou Min Wu 56 1 0 06 Feb 2024
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners Rachel Redberg Antti Koskela Yu-Xiang Wang 130 6 0 31 Dec 2023
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training Alyssa Huang Peihan Liu Ryumei Nakada Linjun Zhang Wanrong Zhang VLM 129 6 0 13 Jun 2023
Towards Personalized Preprocessing Pipeline Search Diego Martinez Daochen Zha Qiaoyu Tan Helen Zhou AI4TS 68 2 0 28 Feb 2023
Differentially Private Learning with Per-Sample Adaptive Clipping Tianyu Xia Shuheng Shen Su Yao Xinyi Fu Ke Xu Xiaolong Xu Xingbo Fu 98 17 0 01 Dec 2022
Normalized/Clipped SGD with Perturbation for Differentially Private Non-Convex Optimization Xiaodong Yang Huishuai Zhang Wei Chen Tie-Yan Liu 74 38 0 27 Jun 2022
Differentially private Riemannian optimization Andi Han Bamdev Mishra Pratik Jawanpuria Junbin Gao 64 10 0 19 May 2022
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks Fatemeh Lotfi Omid Semiari Walid Saad 59 27 0 23 Nov 2021
DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning Daniel Seita Abhinav Gopal Zhao Mandi John F. Canny OffRL OnRL 37 0 0 15 Sep 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Helen Zhou Ji Liu 71 117 0 11 Jun 2021
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning Zijian Gao Kele Xu Bo Ding Huaimin Wang Yiying Li Hongda Jia 386 2 0 25 May 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning Zijian Gao Kele Xu Bo Ding Huaimin Wang Yiying Li Hongda Jia 70 15 0 27 Mar 2021
Differential Privacy Meets Federated Learning under Communication Constraints Nima Mohammadi Jianan Bai Nan Cheng Yifei Song Yuhao Yi Lingjia Liu FedML 60 31 0 28 Jan 2021
Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent Junyuan Hong Zhangyang Wang Jiayu Zhou 47 9 0 19 Jan 2021
Differentially Private ADMM Algorithms for Machine Learning Tao Xu Fanhua Shang Yuanyuan Liu Hongying Liu Longjie Shen Maoguo Gong 76 18 0 31 Oct 2020
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning Daochen Zha Kwei-Herng Lai Mingyang Wan X. Hu 95 54 0 16 Sep 2020