Preprint
Jul 2026
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.
Haocheng Liang, Jie Zhang, H. Ochiai
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