LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for
Distributed Learning

LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning

27 November 2018

Yiran Chen

Papers citing "LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning"

4 / 4 papers shown

Title
Dyn-D $^2$ P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Zehan Zhu Yan Huang Xin Wang Shouling Ji Jinming Xu 26 0 0 10 May 2025
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds Zehan Zhu Yan Huang Xin Wang Jinming Xu 41 0 0 04 May 2024
One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy Dayong Ye Sheng Shen Tianqing Zhu B. Liu Wanlei Zhou MIACV 16 61 0 13 Mar 2022
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 34 125 0 05 Aug 2020