Rethinking One-Shot Federated Graph Learning: Training-Free Statistical Estimation

Shutong Zheng, Sijia Chen

One-shot federated graph learning generally aims to train Graph Neural Networks (GNNs) across clients with disconnected subgraphs in a single communication round. Existing methods…