Cost-Efficient Feature Selection for Horizontal Federated Learning

Information Science, Computer Science, Artificial Intelligence,
Federated Learning   Feature Selection   Multiobjective Optimization   Mutual Information   Clustering  

Research on Cost-Efficient Feature Selection in Horizontal Federated Learning Background and Motivation As Federated Learning (FL) is increasingly recognized as a distributed machine learning paradigm that safeguards data privacy, its application to multi-client scenarios has garnered significant attention. In Horizontal Federated Learning (HFL), a...