Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis
Y Chen, Q Zhang, S Ma, K Fang - Journal of Machine Learning Research, 2024 - jmlr.org
In diverse fields ranging from finance to omics, it is increasingly common that data is
distributed with multiple individual sources (referred to as “clients” in some studies) …
distributed with multiple individual sources (referred to as “clients” in some studies) …
Distributed variable screening for generalized linear models
T Diao, L Qu, B Li, L Sun - arXiv preprint arXiv:2405.04254, 2024 - arxiv.org
In this article, we develop a distributed variable screening method for generalized linear
models. This method is designed to handle situations where both the sample size and the …
models. This method is designed to handle situations where both the sample size and the …