Gradient Perturbation is Underrated for Differentially Private Convex
Optimization

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"

8 / 8 papers shown

Title
Towards Personalized Preprocessing Pipeline Search Diego Martinez Daochen Zha Qiaoyu Tan Xia Hu AI4TS 31 2 0 28 Feb 2023
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks Fatemeh Lotfi Omid Semiari Walid Saad 32 27 0 23 Nov 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Xia Hu Ji Liu 16 117 0 11 Jun 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning Zijian Gao Kele Xu Bo Ding Huaimin Wang Yiying Li Hongda Jia 42 15 0 27 Mar 2021
Differentially Private ADMM Algorithms for Machine Learning Tao Xu Fanhua Shang Yuanyuan Liu Hongying Liu Longjie Shen Maoguo Gong 36 17 0 31 Oct 2020
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning Daochen Zha Kwei-Herng Lai Mingyang Wan X. Hu 21 53 0 16 Sep 2020
Efficient Per-Example Gradient Computations Ian Goodfellow 186 74 0 07 Oct 2015
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 104 571 0 08 Dec 2012