arXiv (OAI Expanded)
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OCT-FedSIR: Toward Trustworthy Federated Ophthalmic Learning under Annotation Noise
Federated learning enables collaborative model development without centralizing patient data, but annotation reliability at participating institutions cannot always be assumed. In ophthalmic imaging, differences in disease prevalence and class composition can resemble changes caused by corrupted sup
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