{"id":92,"date":"2021-11-12T12:16:20","date_gmt":"2021-11-12T11:16:20","guid":{"rendered":"https:\/\/www.kth.se\/blogs\/nslab\/?p=92"},"modified":"2021-11-18T10:27:43","modified_gmt":"2021-11-18T09:27:43","slug":"vr-starting-and-project-proposals-both-granted","status":"publish","type":"post","link":"https:\/\/www.kth.se\/blogs\/nslab\/2021\/11\/vr-starting-and-project-proposals-both-granted\/","title":{"rendered":"Two newly funded  projects from Vetenskapr\u00e5det (VR, Swedish Research Council)"},"content":{"rendered":"<div class=\"post-content-wrapper\"><p>Two project proposals led by Marco Chiesa and Dejan Kosti\u0107 have recently been funded by Vetenskapr\u00e5det (VR, Swedish Research Council in English).<\/p>\n<p>The first project is a Starting Grant with a single PI (Marco Chiesa), titled &#8220;ResoNet: Resilient Optimized Network Synthesis&#8221;, and funded with 4M SEK and running between 2022 and 2025. The project aims at developing new network synthesis methods that guarantee performance and robustness requirements.<\/p>\n<p>The second project is a Project Grant with Dejan Kosti\u0107 as PI, titled &#8220;Scalable Federated Learning&#8221;, and funded with 3.8M SEK. This project is a collaboration with three more co-PIs: Magnus Boman (KTH), Marco Chiesa (KTH), and Sabine Koch (KI). The project will allow our group to explore a new research direction and, more specifically, we aim to develop a highly scalable, flexible, extensible, distributed federated machine learning approach that can directly benefit public health and wellness.<\/p>\n<p>See a list of all funded VR projects <a href=\"https:\/\/www.vr.se\/english\/applying-for-funding\/decisions\/2021-08-25-natural-and-engineering-sciences.html\">here<\/a>.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Two project proposals led by Marco Chiesa and Dejan Kosti\u0107 have recently been funded by Vetenskapr\u00e5det (VR, Swedish Research Council in English). The first project is a Starting Grant with a single PI (Marco Chiesa), titled &#8220;ResoNet: Resilient Optimized Network Synthesis&#8221;, and funded with 4M SEK and running between 2022 and 2025. The project aims [&hellip;]<\/p>\n","protected":false},"author":1312,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-92","post","type-post","status-publish","format-standard","hentry","category-okategoriserat"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/posts\/92","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/users\/1312"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/comments?post=92"}],"version-history":[{"count":12,"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/posts\/92\/revisions"}],"predecessor-version":[{"id":107,"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/posts\/92\/revisions\/107"}],"wp:attachment":[{"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/media?parent=92"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/categories?post=92"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/tags?post=92"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}