Modality-aware differentially private federated learning for partially observed multimodal healthcare prediction
Multimodal healthcare prediction can benefit from combining structured electronic health records, medical imaging, and acquisition-related metadata, but these modalities are often incompletely observed across patients and unevenly distributed across clinical sites. Federated learning provides a mechanism for collaborat...