ST-SplitVFL: Spatio-Temporal Split Vertical Federated Learning

Abstract

This paper introduces ST-SplitVFL, a novel framework for Spatio-Temporal Split Vertical Federated Learning, which extends vertical FL with split learning and spatial graph constraints. In this setting, clients maintain their local data while selectively exchanging encoded intermediate representations with geographically or logically connected peers.