FedColMem-H: Communication-Neutral Decision-Head Personalization for Heterogeneous Federated Node Classification
Federated node classification is not easy when clients hold induced subgraphs with different class proportions and different local topology. Existing graph-specific approaches change aggregation, distillation or cross-client knowledge transfer, which can increase personalization but can also be associated with a differ...