FedTaste: Topology-Aware Structural Transfer for Multimodal Federated Learning with Missing Modalities
FedTaste is proposed, a parameter-efficient framework for topology-aware structural transfer in Multimodal Federated Learning with missing modalities that avoids explicit modality imputation while preserving shared semantic structure across clients.