2026
FedAMB: Adaptive Modality Balancing for Dominance-Robust Multimodal Federated Distillation
IJCAI 2026
Federated knowledge distillation (Fed-KD) exchanges distilled predictions on a shared proxy dataset, often reducing communication and accommodating heterogeneous client architectures. However, in multimodal federated learning (MFL), modality dominance can bias local optimization and contaminate the