Decoupling node features and leveraging structural dependencies in federated learning on interconnected graphs.
FEDSTRUCT introduces a novel framework for federated learning on interconnected graphs, decoupling node and structure features to ensure privacy and achieve outstanding performance in semi-supervised scenarios.
FEDSTRUCT ermöglicht effektives, privates und leistungsstarkes maschinelles Lernen über vernetzten Graphen.