OmniFM: Toward Modality-Robust and Task-Agnostic Federated Learning for Heterogeneous Medical Imaging
OmniFM: Toward Modality-Robust and Task-Agnostic Federated Learning for Heterogeneous Medical Imaging explores A modality- and task-agnostic federated learning framework for heterogeneous medical imaging that unifies diverse downstream tasks by leveraging frequency-domain insights.. Commercial viability score: 7/10 in Medical AI.
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