31 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.CR2020
Differentially Private Linear Regression over Fully Decentralized Datasets
Yang Liu, Xiong Zhang, Shuqi Qin +1
This paper presents a differentially private algorithm for linear regression learning in a decentralized fashion. Under this algorithm, privacy budget is theoretically derived, in…
cs.CR2020
Distributed Privacy Preserving Iterative Summation Protocols
Yang Liu, Qingchen Liu, Xiong Zhang +2
In this paper, we study the problem of summation evaluation of secrets. The secrets are distributed over a network of nodes that form a ring graph. Privacy-preserving iterative pro…
cs.CR2020★ 31 cited
Asymmetrical Vertical Federated Learning
Yang Liu, Xiong Zhang, Libin Wang
Federated learning is a distributed machine learning method that aims to preserve the privacy of sample features and labels. In a federated learning system, ID-based sample alignme…