3 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.ME2022
Federated Generalized Linear Mixed Models for Collaborative Genome-wide Association Studies
Wentao Li, Han Chen, Xiaoqian Jiang +1
As the sequencing costs are decreasing, there is great incentive to perform large scale association studies to increase power of detecting new variants. Federated association testi…
cs.CR2022★ 3 cited
Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy
Leonard Dervishi, Xinyue Wang, Wentao Li +4
With the reduction of sequencing costs and the pervasiveness of computing devices, genomic data collection is continually growing. However, data collection is highly fragmented and…
stat.ML2021
Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources
Wentao Li, Jiayi Tong, Md. Monowar Anjum +3
Objectives: This paper develops two algorithms to achieve federated generalized linear mixed effect models (GLMM), and compares the developed model's outcomes with each other, as w…