FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning
By Zekai Chen · Paper · cs.LG
Multimodal graph foundation models aim to learn reusable knowledge from graphs enriched with text, images, attributes, and relational topology, thereby supporting diverse graph-centric and modality-centric tasks. In practice, however, such multimodal graphs are often distributed