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annotation noise

topic1 events
papersTODAY 04:00 UTC

OCT-FedSIR framework addresses annotation noise in federated eye imaging

A new arXiv paper introduces OCT-FedSIR, a federated learning approach for ophthalmic imaging that does not require patient data to be centralized. The work targets unreliable annotation labels across participating institutions, where differences in disease prevalence and class composition can degrade model trustworthiness. It is cross-listed under cs.AI and cs.LG.

federated-learning/medical-imaging/annotation-noise/privacy