FedCSI: Profile-Driven Clustering and Cross-Scale Interaction for Heterogeneous Federated Graph Learning
The proliferation of interconnected devices in the Internet of Things (IoT) has driven the adoption of federated graph learning (FGL) to extract relational intelligence without compromising edge privacy. However, deploying FGL in real-world IoT environments faces a critical bottleneck: the extreme statistical and struc...