A contrastive learning and graph-based approach for missing modalities in multimodal federated...

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FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization

MD Nguyen, TT Nguyen, HH Pham, TN Hoang… - arXiv preprint arXiv …, 2024 - arxiv.org
Federated Learning (FL) is a method for training machine learning models using distributed
data sources. It ensures privacy by allowing clients to collaboratively learn a shared global …
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