A Distributed Privacy-Preserving Learning Dynamics in General Social Networks

15 November 2020

Papers citing "A Distributed Privacy-Preserving Learning Dynamics in General Social Networks"

5 / 5 papers shown

Title
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 46 286 0 24 Nov 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 52 144 0 08 Sep 2020
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility Xiaolan Gu Ming Li Yueqiang Cheng Li Xiong Yang Cao 20 80 0 28 Nov 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 91 1,589 0 01 Nov 2019
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising Borja Balle Yu Wang MLT 47 395 0 16 May 2018