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Federated deep learning enables cancer subtyping by proteomics

2024-10-18

Abstract excerpt

Artificial intelligence applications in biomedicine face major challenges from data privacy requirements. To address this issue for clinically annotated tissue proteomic data, we developed a Federated Deep Learning (FDL) approach (ProCanFDL), training local models on simulated sites containing data from a pan-cancer cohort (n=1,260) and 29 cohorts held behind private firewalls (n=6,265), representing 19,930 replic...

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Literature Corpus work
96363965-3dc2-5d53-a5ec-b59a09344ece
DOI
10.1101/2024.10.16.618763
Open publication

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Federated deep learning enables cancer subtyping by proteomicsDOI 10.1101/2024.10.16.618763
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