IEEE

FedDSV: Shapley Value-Based Contribution Estimation in Federated Learning With Dynamic Participation

Abstract: Federated Learning (FL) succeeds in collaborative and privacy-preserving ML model training among multiple distributed data owners. To maintain a healthy FL ecosystem, it is crucial to ...
IEEE

MASA: Multimodal Federated Learning Through Modality-Aware and Secure Aggregation

Abstract: As a promising paradigm, federated learning has been applied to multimodal sensing tasks due to its deployment convenience. However, the recent advances in multimodal federated learning ...