2 papers
stat.ME2025
Robust Clustered Federated Learning for Heterogeneous High-dimensional Data
Changxin Yang, Zhongyi Zhu, Heng Lian
Federated learning has attracted significant attention as a privacy-preserving framework for training personalised models on multi-source heterogeneous data. However, most existing…
stat.ME2024
Distributed Iterative Hard Thresholding for Variable Selection in Tobit Models
Changxin Yang, Zhongyi Zhu, Heng Lian
While extensive research has been conducted on high-dimensional data and on regression with left-censored responses, simultaneously addressing these complexities remains challengin…