A federated multimodal graph-learning method that uses server-side routing of topology-aware prototypes to align clients across tasks, modalities, and topologies, outperforming baselines on 8 datasets.
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Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity
A federated multimodal graph-learning method that uses server-side routing of topology-aware prototypes to align clients across tasks, modalities, and topologies, outperforming baselines on 8 datasets.