FedEPA combines client-specific aggregation weights and unsupervised contrastive feature alignment to improve multimodal federated classification when labeled data is scarce.
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FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning
FedEPA combines client-specific aggregation weights and unsupervised contrastive feature alignment to improve multimodal federated classification when labeled data is scarce.