Efficient Computation and Communication Strategies for Vertical Federated Learning

This paper introduces the concept of Lightweight Vertical Federated Learning (LVFL), which targets both computational and communication efficiencies in the vertical federated learning setting. LVFL employs separate lightweighting strategies for the feature model and feature embedding to improve efficiency.