STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning
arXiv:2605.11919v1 Announce Type: new
Abstract: Federated graph learning (FGL) enables collaborative training on graph data across multiple clients. As graph data increasingly contain multimodal node attributes such as text and images, multimodal fede…