{"id":12560,"date":"2023-07-12T13:59:49","date_gmt":"2023-07-12T11:59:49","guid":{"rendered":"https:\/\/new.sano.science\/?post_type=research&#038;p=12560"},"modified":"2024-06-05T16:59:27","modified_gmt":"2024-06-05T14:59:27","slug":"application-of-federated-learning-to-medical-image-segmentation","status":"publish","type":"research","link":"https:\/\/sano.science\/research\/application-of-federated-learning-to-medical-image-segmentation\/","title":{"rendered":"Application of federated learning to medical image segmentation"},"content":{"rendered":"<ul class=\"eplus-wrapper wp-block-list eplus-styles-uid-d48499\">\n<li class=\" eplus-wrapper\">MSc Project\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Federated learning is a technique which allows training machine learning models in a distributed way without transferring the data from its source. It has thus potential applications in medical image analysis, where privacy and security issues are of great importance. Although there are examples of using federated approaches to analysis of medical images, there is still need for research in this area and for experiments in distributed environment.\u00a0<\/li>\n<\/ul>\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">The goal of the thesis will be to apply federated learning techniques to the problem of medical image segmentation. We plan to use public datasets such as echocardiography, coming from multiple sources. The analysis will be performed using distributed computing frameworks such as Flower or&nbsp;FedML, using distributed computing infrastructures such as PL-Grid or a public cloud service. In addition to evaluation of the learning process, the goal will be also to evaluate the performance of distributed computing environment. Further study will include also possible attacks and security of the developed solution. Other types of data and machine learning tasks can be considered for comparison as well.&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The goal of the thesis will be to apply federated learning techniques to the problem of medical image segmentation.<\/p>\n","protected":false},"featured_media":0,"template":"","research_type":[7],"research_team":[16],"class_list":["post-12560","research","type-research","status-publish","hentry","research_type-research-topics","research_team-extreme-scale-data-and-computing"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Application of federated learning to medical image segmentation - 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\/research\/application-of-federated-learning-to-medical-image-segmentation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Application of federated learning to medical image segmentation\" \/>\n<meta property=\"og:description\" content=\"The goal of the thesis will be to apply federated learning techniques to the problem of medical image segmentation.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/research\/application-of-federated-learning-to-medical-image-segmentation\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:modified_time\" content=\"2024-06-05T14:59:27+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/research\\\/application-of-federated-learning-to-medical-image-segmentation\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/research\\\/application-of-federated-learning-to-medical-image-segmentation\\\/\",\"name\":\"Application of federated learning to medical image segmentation - Centre for Computational Personalized Medicine\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#website\"},\"datePublished\":\"2023-07-12T11:59:49+00:00\",\"dateModified\":\"2024-06-05T14:59:27+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sano.science\\\/research\\\/application-of-federated-learning-to-medical-image-segmentation\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sano.science\\\/research\\\/application-of-federated-learning-to-medical-image-segmentation\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sano.science\\\/research\\\/application-of-federated-learning-to-medical-image-segmentation\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sano.science\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Research\",\"item\":\"https:\\\/\\\/sano.science\\\/research\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Research Topics\",\"item\":\"https:\\\/\\\/sano.science\\\/research-type\\\/research-topics\\\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"Application of federated learning to medical image segmentation\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sano.science\\\/#website\",\"url\":\"https:\\\/\\\/sano.science\\\/\",\"name\":\"Centre for Computational Personalized Medicine\",\"description\":\"Sano \u2013 Centre for Computational Medicine\",\"publisher\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sano.science\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sano.science\\\/#organization\",\"name\":\"Sano \u2013 Centre for Computational Medicine\",\"alternateName\":\"Sano\",\"url\":\"https:\\\/\\\/sano.science\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sano.science\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2024\\\/05\\\/logo_sano_podstawowe.png\",\"contentUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2024\\\/05\\\/logo_sano_podstawowe.png\",\"width\":700,\"height\":265,\"caption\":\"Sano \u2013 Centre for Computational Medicine\"},\"image\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/sano.science\\\/\",\"https:\\\/\\\/x.com\\\/sanoscience\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/sanoscience\\\/\",\"https:\\\/\\\/www.youtube.com\\\/channel\\\/UCDZ_8TcjMWUG2ZcgKKgfpwQ\",\"https:\\\/\\\/bsky.app\\\/profile\\\/sanoscience.bsky.social\"]}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Application of federated learning to medical image segmentation - Centre for Computational Personalized Medicine","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sano.science\/research\/application-of-federated-learning-to-medical-image-segmentation\/","og_locale":"en_US","og_type":"article","og_title":"Application of federated learning to medical image segmentation","og_description":"The goal of the thesis will be to apply federated learning techniques to the problem of medical image segmentation.","og_url":"https:\/\/sano.science\/research\/application-of-federated-learning-to-medical-image-segmentation\/","og_site_name":"Centre for Computational Personalized Medicine","article_publisher":"https:\/\/www.facebook.com\/sano.science\/","article_modified_time":"2024-06-05T14:59:27+00:00","twitter_card":"summary_large_image","twitter_site":"@sanoscience","twitter_misc":{"Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/sano.science\/research\/application-of-federated-learning-to-medical-image-segmentation\/","url":"https:\/\/sano.science\/research\/application-of-federated-learning-to-medical-image-segmentation\/","name":"Application of federated learning to medical image segmentation - Centre for Computational Personalized Medicine","isPartOf":{"@id":"https:\/\/sano.science\/#website"},"datePublished":"2023-07-12T11:59:49+00:00","dateModified":"2024-06-05T14:59:27+00:00","breadcrumb":{"@id":"https:\/\/sano.science\/research\/application-of-federated-learning-to-medical-image-segmentation\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sano.science\/research\/application-of-federated-learning-to-medical-image-segmentation\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/sano.science\/research\/application-of-federated-learning-to-medical-image-segmentation\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/sano.science\/"},{"@type":"ListItem","position":2,"name":"Research","item":"https:\/\/sano.science\/research\/"},{"@type":"ListItem","position":3,"name":"Research Topics","item":"https:\/\/sano.science\/research-type\/research-topics\/"},{"@type":"ListItem","position":4,"name":"Application of federated learning to medical image segmentation"}]},{"@type":"WebSite","@id":"https:\/\/sano.science\/#website","url":"https:\/\/sano.science\/","name":"Centre for Computational Personalized Medicine","description":"Sano \u2013 Centre for Computational Medicine","publisher":{"@id":"https:\/\/sano.science\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sano.science\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/sano.science\/#organization","name":"Sano \u2013 Centre for Computational Medicine","alternateName":"Sano","url":"https:\/\/sano.science\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/","url":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","contentUrl":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","width":700,"height":265,"caption":"Sano \u2013 Centre for Computational Medicine"},"image":{"@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/sano.science\/","https:\/\/x.com\/sanoscience","https:\/\/www.linkedin.com\/company\/sanoscience\/","https:\/\/www.youtube.com\/channel\/UCDZ_8TcjMWUG2ZcgKKgfpwQ","https:\/\/bsky.app\/profile\/sanoscience.bsky.social"]}]}},"acf":[],"gutenberg_blocks":[{"blockName":"custom-styles","attrs":{"styles":".eplus-styles-uid-d48499{grid-template-columns:repeat(1,1fr);list-style-type:disc}@media (max-width:981px){.eplus-styles-uid-d48499{list-style-type:}}@media (max-width:600px){.eplus-styles-uid-d48499{list-style-type:}}.eplus-styles-uid-d48499:hover{list-style-type:}"}},{"blockName":"core\/list","attrs":{"epStylingOptions":{"columnsResponsiveEnabled":false,"columnsHoverEnabled":false,"itemsSpacingResponsiveEnabled":false,"itemsSpacingHoverEnabled":false,"listStyleResponsiveEnabled":false,"listStyleHoverEnabled":false,"listIconResponsiveEnabled":false,"listIconHoverEnabled":false,"columns":{"target":"","responsive":true,"hover":true,"options":[{"custom":true,"control":"ToggleOptions"},{"label":"Columns","control":"Range","attribute":"columns","css":"grid-template-columns","customValue":"repeat({{value}}, 1fr)","props":{"max":5,"min":1,"supportedUnits":[]},"defaults":{"desktop":"1"},"show_if":{"className":["ep-custom-list"]}}]},"itemsSpacing":{"target":"","responsive":true,"hover":true,"options":[{"label":"Items Spacing","control":"Range","attribute":"itemsSpacing","css":"grid-gap","props":{"max":100,"min":0,"supportedUnits":["px"]},"show_if":{"className":["ep-custom-list"]}}]},"listStyle":{"target":"","responsive":true,"hover":true,"options":[{"custom":true,"control":"IconClassToggle","condition":{"relation":"AND","query":[{"field":"attributes.className","compare":"IN","value":"ep-custom-list"}]}},{"label":"Choose List Style","control":"ButtonGroup","attribute":"unorderListStyle","css":"list-style-type","defaults":{"desktop":"disc"},"condition":{"relation":"AND","query":[{"field":"attributes.className","compare":"IN","value":"ep-custom-list"},{"field":"attributes.ordered","compare":"EQUAL","value":false},{"field":"attributes.className","compare":"NOT IN","value":"ep-custom-icon-list"}]},"props":{"layout":"stacked","options":[{"customIcon":"<svg enable-background='new 0 0 512 512' version='1.1' viewBox='0 0 512 512' xml:space='preserve' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='m256 0c-141.16 0-256 114.84-256 256s114.84 256 256 256 256-114.84 256-256-114.84-256-256-256zm0 448c-105.86 0-192-86.135-192-192 0-40.406 12.25-78.604 35.542-111.2l267.66 267.66c-32.594 23.292-70.792 35.542-111.2 35.542zm156.46-80.802-267.66-267.66c32.594-23.292 70.792-35.542 111.2-35.542 105.86 0 192 86.135 192 192 0 40.406-12.25 78.604-35.542 111.2z'\/><\/svg>","value":"none"},{"customIcon":"<svg enable-background='new 0 0 29.107 29.107' version='1.1' viewBox='0 0 29.107 29.107' xml:space='preserve' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='M14.554,0C6.561,0,0,6.562,0,14.552c0,7.996,6.561,14.555,14.554,14.555c7.996,0,14.553-6.559,14.553-14.555 C29.106,6.562,22.55,0,14.554,0z'\/><\/svg>","value":"disc"},{"customIcon":"<svg enable-background='new 0 0 341.333 341.333' version='1.1' viewBox='0 0 341.33 341.33' xml:space='preserve' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='m170.67 0c-94.257 0-170.67 76.41-170.67 170.67s76.41 170.67 170.67 170.67 170.67-76.41 170.67-170.67-76.411-170.67-170.67-170.67zm0 298.67c-70.692 0-128-57.308-128-128s57.308-128 128-128 128 57.308 128 128-57.308 128-128 128z'\/><\/svg>","value":"circle"},{"customIcon":"<svg enable-background='new 0 0 60 60' version='1.1' viewBox='0 0 60 60' xml:space='preserve' xmlns='http:\/\/www.w3.org\/2000\/svg'><rect width='60' height='60'\/><\/svg>","value":"square"}]}},{"label":"Choose List Style","control":"ButtonGroup","attribute":"orderListStyle","css":"list-style-type","defaults":{"desktop":"decimal"},"condition":{"relation":"AND","query":[{"field":"attributes.className","compare":"IN","value":"ep-custom-list"},{"field":"attributes.ordered","compare":"EQUAL","value":true},{"field":"attributes.className","compare":"NOT IN","value":"ep-custom-icon-list"}]},"props":{"layout":"stacked","options":[{"customIcon":"<svg enable-background='new 0 0 512 512' version='1.1' viewBox='0 0 512 512' xml:space='preserve' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='m256 0c-141.16 0-256 114.84-256 256s114.84 256 256 256 256-114.84 256-256-114.84-256-256-256zm0 448c-105.86 0-192-86.135-192-192 0-40.406 12.25-78.604 35.542-111.2l267.66 267.66c-32.594 23.292-70.792 35.542-111.2 35.542zm156.46-80.802-267.66-267.66c32.594-23.292 70.792-35.542 111.2-35.542 105.86 0 192 86.135 192 192 0 40.406-12.25 78.604-35.542 111.2z'\/><\/svg>","value":"none"},{"customIcon":"<svg id='Capa_1' enable-background='new 0 0 512 512' viewBox='0 0 512 512' xmlns='http:\/\/www.w3.org\/2000\/svg'><g id='_x31__1_'><path d='m376 512v-512h-99.902l-3.56 9.932c-9.419 26.294-27.202 49.746-52.837 69.697-26.528 20.684-51.211 34.849-73.359 42.1l-10.342 3.383v114.771l19.702-6.519c36.387-12.012 69.448-29.268 98.672-51.445v330.081z'\/><\/g><\/svg>","value":"decimal"},{"customIcon":"\u2160","value":"upper-roman"},{"customIcon":"\u2170","value":"lower-roman"}]}}]},"listIcon":{"target":"li:before","includeDotSuffix":false,"responsive":true,"hover":true,"hoverTarget":"{{class}} li:hover:before","options":[{"label":"Icon","control":"IconPicker","attribute":"icon","defaults":{"desktop":"eplusicon-check"},"css":"content","condition":{"relation":"AND","query":[{"field":"attributes.className","compare":"IN","value":"ep-custom-icon-list"}]}},{"label":"Background","control":"ColorPicker","attribute":"iconBackground","css":"background","condition":{"query":[{"field":"attributes.className","compare":"IN","value":"ep-custom-icon-list"}]}},{"label":"Color","control":"ColorPicker","attribute":"iconColor","css":"color","condition":{"query":[{"field":"attributes.className","compare":"IN","value":"ep-custom-icon-list"}]}},{"label":"Size","control":"Range","attribute":"iconSize","css":"font-size","props":{"supportedUnits":["px"],"max":100},"condition":{"query":[{"field":"attributes.className","compare":"IN","value":"ep-custom-icon-list"}]}},{"label":"Radius","control":"Range","attribute":"iconRadius","css":"border-radius","condition":{"query":[{"field":"attributes.className","compare":"IN","value":"ep-custom-icon-list"}]}},{"label":"Padding","control":"Range","attribute":"iconPadding","css":"padding","props":{"supportedUnits":["px"],"max":100},"condition":{"query":[{"field":"attributes.className","compare":"IN","value":"ep-custom-icon-list"}]}}]},"savedStyling":"","clientId":"cf0d034d-8a02-4f03-8975-e00e13e61cb6"},"columns":{"desktop":{"value":1,"important":false,"unit":""},"tablet":{"value":"","important":false,"unit":"%"},"tabletModified":false,"mobile":{"value":"","important":false,"unit":"%"},"mobileModified":false,"hover":{"value":"","important":false,"unit":"%"},"hoverModified":false},"itemsSpacing":{"desktop":{"value":"","important":false,"unit":"%"},"tablet":{"value":"","important":false,"unit":"%"},"tabletModified":false,"mobile":{"value":"","important":false,"unit":"%"},"mobileModified":false,"hover":{"value":"","important":false,"unit":"%"},"hoverModified":false},"unorderListStyle":{"desktop":"disc","tablet":"","tabletModified":false,"mobile":"","mobileModified":false,"hover":"","hoverModified":false},"orderListStyle":{"desktop":"decimal","tablet":"","tabletModified":false,"mobile":"","mobileModified":false,"hover":"","hoverModified":false},"icon":{"desktop":{"icon":"eplusicon-check"},"tablet":{"icon":""},"tabletModified":false,"mobile":{"icon":""},"mobileModified":false,"hover":{"icon":""},"hoverModified":false},"iconBackground":{"desktop":{"color":""},"tablet":{"color":""},"tabletModified":false,"mobile":{"color":""},"mobileModified":false,"hover":{"color":""},"hoverModified":false},"iconColor":{"desktop":{"color":""},"tablet":{"color":""},"tabletModified":false,"mobile":{"color":""},"mobileModified":false,"hover":{"color":""},"hoverModified":false},"iconSize":{"desktop":{"value":"","important":false,"unit":"%"},"tablet":{"value":"","important":false,"unit":"%"},"tabletModified":false,"mobile":{"value":"","important":false,"unit":"%"},"mobileModified":false,"hover":{"value":"","important":false,"unit":"%"},"hoverModified":false},"iconRadius":{"desktop":{"value":"","important":false,"unit":"%"},"tablet":{"value":"","important":false,"unit":"%"},"tabletModified":false,"mobile":{"value":"","important":false,"unit":"%"},"mobileModified":false,"hover":{"value":"","important":false,"unit":"%"},"hoverModified":false},"iconPadding":{"desktop":{"value":"","important":false,"unit":"%"},"tablet":{"value":"","important":false,"unit":"%"},"tabletModified":false,"mobile":{"value":"","important":false,"unit":"%"},"mobileModified":false,"hover":{"value":"","important":false,"unit":"%"},"hoverModified":false},"epAnimationGeneratedClass":"edplus_anim-BFPDNB","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[{"blockName":"core\/list-item","attrs":{"epAnimationGeneratedClass":"edplus_anim-74CKJ5","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<li class=\" eplus-wrapper\">MSc Project&nbsp;<\/li>\n","innerContent":["\n<li class=\" eplus-wrapper\">MSc Project&nbsp;<\/li>\n"]},{"blockName":"core\/list-item","attrs":{"epAnimationGeneratedClass":"edplus_anim-ovFhG6","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<li class=\" eplus-wrapper\">Federated learning is a technique which allows training machine learning models in a distributed way without transferring the data from its source. It has thus potential applications in medical image analysis, where privacy and security issues are of great importance. Although there are examples of using federated approaches to analysis of medical images, there is still need for research in this area and for experiments in distributed environment.\u00a0<\/li>\n","innerContent":["\n<li class=\" eplus-wrapper\">Federated learning is a technique which allows training machine learning models in a distributed way without transferring the data from its source. It has thus potential applications in medical image analysis, where privacy and security issues are of great importance. Although there are examples of using federated approaches to analysis of medical images, there is still need for research in this area and for experiments in distributed environment.\u00a0<\/li>\n"]}],"innerHTML":"<ul class=\" eplus-wrapper eplus-styles-uid-d48499\">\n\n<\/ul>","innerContent":["\n<ul class=\" eplus-wrapper\">",null,"\n\n",null,"<\/ul>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-cdF2GO","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\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-jc6Yyt","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The goal of the thesis will be to apply federated learning techniques to the problem of medical image segmentation. We plan to use public datasets such as echocardiography, coming from multiple sources. The analysis will be performed using distributed computing frameworks such as Flower or&nbsp;FedML, using distributed computing infrastructures such as PL-Grid or a public cloud service. In addition to evaluation of the learning process, the goal will be also to evaluate the performance of distributed computing environment. Further study will include also possible attacks and security of the developed solution. Other types of data and machine learning tasks can be considered for comparison as well.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The goal of the thesis will be to apply federated learning techniques to the problem of medical image segmentation. We plan to use public datasets such as echocardiography, coming from multiple sources. The analysis will be performed using distributed computing frameworks such as Flower or&nbsp;FedML, using distributed computing infrastructures such as PL-Grid or a public cloud service. In addition to evaluation of the learning process, the goal will be also to evaluate the performance of distributed computing environment. Further study will include also possible attacks and security of the developed solution. Other types of data and machine learning tasks can be considered for comparison as well.&nbsp;<\/p>\n"]}],"meta_data":{"is_automatically_other_posts":true,"number_of_posts":"3","is_automatically_check_also_posts":true},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/12560","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/research"}],"version-history":[{"count":3,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/12560\/revisions"}],"predecessor-version":[{"id":17072,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/12560\/revisions\/17072"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=12560"}],"wp:term":[{"taxonomy":"research_type","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_type?post=12560"},{"taxonomy":"research_team","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_team?post=12560"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}