Abstract: Unsupervised feature selection plays a crucial role in dealing with unlabeled high-dimensional data. However, traditional unsupervised feature selection methods have some limitations. They ...

Abstract: Vertical federated learning (VFL) enables a paradigm for vertically partitioned data across clients to collaboratively train machine learning models. Feature selection (FS) plays a crucial ...