Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Developing robust artificial intelligence (AI) models that generalize well to unseen datasets is challenging and usually requires large and variable datasets, preferably from multiple institutions. In federated learning (FL), a model is trained collaboratively at numerous sites that hold local datasets without exchanging them. So far, the impact of...
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Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models
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TN_cdi_proquest_journals_2871971934
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2871971934
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2310.00757
