1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2024
Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference
Zhe Zhang, Ryumei Nakada, Linjun Zhang
Differentially private federated learning is crucial for maintaining privacy in distributed environments. This paper investigates the challenges of high-dimensional estimation and…
stat.ML2021★ 1 cited
High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees
Zhe Zhang, Linjun Zhang
In this paper, we develop a general framework to design differentially private expectation-maximization (EM) algorithms in high-dimensional latent variable models, based on the noi…
cs.DS2020★ 1 cited
A Lightweight Algorithm to Uncover Deep Relationships in Data Tables
Jin Cao, Yibo Zhao, Linjun Zhang +1
Many data we collect today are in tabular form, with rows as records and columns as attributes associated with each record. Understanding the structural relationship in tabular dat…