2 papers
stat.ME2025
Scalable and Distributed Individualized Treatment Rules for Massive Datasets
Nan Qiao, Wangcheng Li, Jingxiao Zhang +1
Synthesizing information from multiple data sources is crucial for constructing accurate individualized treatment rules (ITRs). However, privacy concerns often present significant…
stat.ML2025
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
Canyi Chen, Nan Qiao, Liping Zhu
This paper addresses the problem of efficiently classifying high-dimensional data over decentralized networks. Penalized support vector machines (SVMs) are widely used for high-dim…