A(DP)$^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient
Descent with Differential Privacy

A(DP) $^2$ SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy

21 August 2020

Wei Zhang

Papers citing "A(DP)$^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy"

4 / 4 papers shown

Title
An Efficient DP-SGD Mechanism for Large Scale NLP Models Christophe Dupuy Radhika Arava Rahul Gupta Anna Rumshisky SyDa 26 35 0 14 Jul 2021
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes Marten van Dijk Nhuong V. Nguyen Toan N. Nguyen Lam M. Nguyen Quoc Tran-Dinh Phuong Ha Nguyen FedML 42 10 0 27 Oct 2020
LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning Hsin-Pai Cheng P. Yu Haojing Hu Feng Yan Shiyu Li Hai Helen Li Yiran Chen FedML 32 23 0 27 Nov 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 306 10,233 0 16 Nov 2016