{"id":24076,"date":"2025-05-05T14:22:40","date_gmt":"2025-05-05T12:22:40","guid":{"rendered":"https:\/\/sano.science\/?p=24076"},"modified":"2025-06-01T14:24:18","modified_gmt":"2025-06-01T12:24:18","slug":"new-publication-from-neardata-partners-federated-endovit","status":"publish","type":"post","link":"https:\/\/sano.science\/new-publication-from-neardata-partners-federated-endovit\/","title":{"rendered":"New Publication from NearData Partners: Federated EndoViT"},"content":{"rendered":"\n<p class=\" eplus-wrapper\">We\u2019re excited to highlight a new research article from our partners in the NearData project, titled:<br>\u201cFederated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections.\u201d<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading eplus-wrapper\" id=\"h-about-the-study\">About the Study<\/h3>\n\n\n\n<p class=\" eplus-wrapper\">This publication addresses a key challenge in medical AI:<br>How can we develop robust and accurate AI models without compromising patient privacy?<\/p>\n\n\n\n<p class=\" eplus-wrapper\">The research team proposes a novel solution that combines federated learning and confidential computing to collaboratively train Vision Transformers on surgical data analysis\u2014without sharing sensitive medical information across institutions.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">The result is FL-EndoViT, a federated approach to model pretraining that allows for effective and secure collaboration between hospitals. Advanced techniques such as FedSAM and Stochastic Weight Averaging (SWA) were used to improve performance and stability across distributed datasets.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">\ud83d\udcc4 Read the full article on arXiv: <a href=\"https:\/\/arxiv.org\/pdf\/2504.16612\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/arxiv.org\/pdf\/2504.16612<\/a><\/p>\n\n\n\n<p class=\" eplus-wrapper\">Authors:<br>Max Kirchner, Alexander C. Jenke, Sebastian Bodenstedt, Fiona R. Kolbinger, Oliver L. Saldanha, Jakob N. Kather, Martin Wagner, and Stefanie Speidel<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-why-it-matters\">Why It Matters<\/h3>\n\n\n\n<p class=\" eplus-wrapper\">This work is an important step toward building trustworthy, privacy-preserving AI systems in healthcare \u2014 proving that innovation and data protection can go hand in hand.<\/p>\n","protected":false},"excerpt":"We\u2019re excited to highlight a new research article from our partners in the NearData project, titled:\u201cFederated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections.\u201d About the Study This publication addresses a key challenge in medical AI:How can we develop robust and accurate AI models without compromising patient privacy? The research team proposes [&hellip;]","author":8,"featured_media":24077,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"editor_plus_post_options":"{}","editor_plus_copied_stylings":"{}","footnotes":""},"categories":[1],"tags":[],"class_list":["post-24076","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>New Publication from NearData Partners: Federated EndoViT - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/new-publication-from-neardata-partners-federated-endovit\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New Publication from NearData Partners: Federated EndoViT\" \/>\n<meta property=\"og:description\" content=\"We\u2019re excited to highlight a new research article from our partners in the NearData project, titled:\u201cFederated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections.\u201d About the Study This publication addresses a key challenge in medical AI:How can we develop robust and accurate AI models without compromising patient privacy? 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eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"level":3,"epAnimationGeneratedClass":"edplus_anim-1ChZcG","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h3 class=\"wp-block-heading eplus-wrapper\" id=\"h-about-the-study\">About the Study<\/h3>\n","innerContent":["\n<h3 class=\"wp-block-heading eplus-wrapper\" id=\"h-about-the-study\">About the Study<\/h3>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-IS5ZSn","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">This publication addresses a key challenge in medical AI:<br>How can we develop robust and accurate AI models without compromising patient privacy?<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">This publication addresses a key challenge in medical AI:<br>How can we develop robust and accurate AI models without compromising patient privacy?<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-dDB3QK","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The research team proposes a novel solution that combines federated learning and confidential computing to collaboratively train Vision Transformers on surgical data analysis\u2014without sharing sensitive medical information across institutions.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The research team proposes a novel solution that combines federated learning and confidential computing to collaboratively train Vision Transformers on surgical data analysis\u2014without sharing sensitive medical information across institutions.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Od9ykY","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The result is FL-EndoViT, a federated approach to model pretraining that allows for effective and secure collaboration between hospitals. Advanced techniques such as FedSAM and Stochastic Weight Averaging (SWA) were used to improve performance and stability across distributed datasets.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The result is FL-EndoViT, a federated approach to model pretraining that allows for effective and secure collaboration between hospitals. Advanced techniques such as FedSAM and Stochastic Weight Averaging (SWA) were used to improve performance and stability across distributed datasets.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-1ybezv","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">\ud83d\udcc4 Read the full article on arXiv: <a href=\"https:\/\/arxiv.org\/pdf\/2504.16612\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/arxiv.org\/pdf\/2504.16612<\/a><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">\ud83d\udcc4 Read the full article on arXiv: <a href=\"https:\/\/arxiv.org\/pdf\/2504.16612\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/arxiv.org\/pdf\/2504.16612<\/a><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Okr4B5","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Authors:<br>Max Kirchner, Alexander C. Jenke, Sebastian Bodenstedt, Fiona R. Kolbinger, Oliver L. Saldanha, Jakob N. Kather, Martin Wagner, and Stefanie Speidel<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Authors:<br>Max Kirchner, Alexander C. Jenke, Sebastian Bodenstedt, Fiona R. Kolbinger, Oliver L. Saldanha, Jakob N. Kather, Martin Wagner, and Stefanie Speidel<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-mWE6g4","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"level":3,"epAnimationGeneratedClass":"edplus_anim-zPcIRc"},"innerBlocks":[],"innerHTML":"\n<h3 class=\"wp-block-heading\" id=\"h-why-it-matters\">Why It Matters<\/h3>\n","innerContent":["\n<h3 class=\"wp-block-heading\" id=\"h-why-it-matters\">Why It Matters<\/h3>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-QUjwz3","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">This work is an important step toward building trustworthy, privacy-preserving AI systems in healthcare \u2014 proving that innovation and data protection can go hand in hand.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">This work is an important step toward building trustworthy, privacy-preserving AI systems in healthcare \u2014 proving that innovation and data protection can go hand in hand.<\/p>\n"]}],"meta_data":{"has_thumbnail_pattern":false,"share_on_social_media":{"has_social_media":false}},"featured_image":{"url":"https:\/\/sano.science\/wp-content\/uploads\/2025\/06\/ND.png"},"main_category":{"name":"Uncategorized"},"prev_page":{"slug":"ai-and-the-future-of-medicine-paulina-tworek-at-copernicus-festival-2025"},"next_page":{"slug":"sano-x-palace-of-immortality-a-dialogue-between-science-and-art"},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/24076","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/comments?post=24076"}],"version-history":[{"count":1,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/24076\/revisions"}],"predecessor-version":[{"id":24078,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/24076\/revisions\/24078"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/24077"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=24076"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/categories?post=24076"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/tags?post=24076"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}