Jialin Sun

most citedCoresets for Vertical Federated Learning: Regularized Linear Regression and

K

-Means Clustering

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 4 cited

Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$ -Means Clustering

Lingxiao Huang, Zhize Li, Jialin Sun +1

Vertical federated learning (VFL), where data features are stored in multiple parties distributively, is an important area in machine learning. However, the communication complexit…

cs.IT2020

Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy

Zhongzheng Xiong, Jialin Sun, Xiaojun Mao +3

Recent years, local differential privacy (LDP) has been adopted by many web service providers like Google \cite{erlingsson2014rappor}, Apple \cite{apple2017privacy} and Microsoft \…

Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering

Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy

Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$ -Means Clustering