Abstract: Gene expression data typically exhibits the characteristics of high-dimensionality coupled with a small sample size, along with notable redundancy and high inter-feature correlations. These ...
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 ...