OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis
OmniMed-FL is presented, a controlled systems study of multimodal federated learning for five-class clinical condition classification (Normal, Pneumonia, COVID-19, Pleural Effusion, Cardiomegaly) and benchmarks eight fusion strategies, three initializations, four missing-text imputation rules, and matched federated bas...
Ayush Debnath, Ruelia Saha, Sudip Misra
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