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Federated and privacy-preserving learning in neurological imaging: a systematic review of frameworks, applications, and evidence gaps

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Bibliographic Details
Published in:International Journal of Data Science and Analytics
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Data Science and Analytics
description
discipline_display Big data and data science
discipline_facet Big data and data science
format Online Article
RSS Article
genre Journal Article
id rss_article:100844
institution FRELIP
journal_source_facet International Journal of Data Science and Analytics
last_indexed 2026-07-08T03:43:26.021Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Federated and privacy-preserving learning in neurological imaging: a systematic review of frameworks, applications, and evidence gaps
Big data and data science
General
Big data and data science
sub_discipline_display General
sub_discipline_facet General
subject_display Big data and data science
General
Big data and data science
subject_facet Big data and data science
General
Big data and data science
title Federated and privacy-preserving learning in neurological imaging: a systematic review of frameworks, applications, and evidence gaps
title_alt Aprendizaje federado y preservador de la privacidad en imágenes neurológicas: una revisión sistemática de marcos, aplicaciones y brechas de evidencia
Apprentissage fédéré et préservant la vie privée en imagerie neurologique : une revue systématique des cadres, applications et lacunes de preuves
Aprendizado federado e preservador de privacidade em imagem neurológica: uma revisão sistemática de estruturas, aplicações e lacunas de evidência
title_auth Federated and privacy-preserving learning in neurological imaging: a systematic review of frameworks, applications, and evidence gaps
title_es_txt Aprendizaje federado y preservador de la privacidad en imágenes neurológicas: una revisión sistemática de marcos, aplicaciones y brechas de evidencia
title_fr_txt Apprentissage fédéré et préservant la vie privée en imagerie neurologique : une revue systématique des cadres, applications et lacunes de preuves
title_full Federated and privacy-preserving learning in neurological imaging: a systematic review of frameworks, applications, and evidence gaps
title_fullStr Federated and privacy-preserving learning in neurological imaging: a systematic review of frameworks, applications, and evidence gaps
title_full_unstemmed Federated and privacy-preserving learning in neurological imaging: a systematic review of frameworks, applications, and evidence gaps
title_pt_txt Aprendizado federado e preservador de privacidade em imagem neurológica: uma revisão sistemática de estruturas, aplicações e lacunas de evidência
title_short Federated and privacy-preserving learning in neurological imaging: a systematic review of frameworks, applications, and evidence gaps
title_sort federated and privacy-preserving learning in neurological imaging: a systematic review of frameworks, applications, and evidence gaps
topic Big data and data science
General
Big data and data science
url https://link.springer.com/article/10.1007/s41060-026-01173-y