AI RESEARCH
BLOSSOM: Block-wise Federated Learning Over Shared and Sparse Observed Modalities
arXiv CS.LG
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ArXi:2603.27552v1 Announce Type: new Multimodal federated learning (FL) is essential for real-world applications such as autonomous systems and healthcare, where data is distributed across heterogeneous clients with varying and often missing modalities. However, most existing FL approaches assume uniform modality availability, limiting their applicability in practice. We