{"version.version":"0.1.1","version.cm_url":"https://github.com/ceurws/ceur-spt","spt.html_url":"/Vol-4251/paper_01.html","spt.description":null,"spt.id":"Vol-4251/paper_01","spt.wikidataid":null,"spt.title":"Privacy-Preserving Federated Learning and Analytics with FLAME","spt.pdfUrl":"https://ceur-ws.org/Vol-4251/paper_01.pdf","spt.volume":{"number":4251,"acronym":"AIME-WS 2026","wikidataid":"Q141603293","title":"Joint Proceedings of the AIME 2026 Workshops: 1st International Workshop on Multicentric and Privacy-preserving Learning in Healthcare, Foundation Models for Public Health and Epidemiology: From Promise to Practice, and First International Workshop on Knowledge Graphs for Health","description":"Proceedings of AIME-WS 2026 workshop","url":"https://ceur-ws.org/Vol-4251/","date":"2026-08-30","dblp":null,"k10plus":null,"urn":"urn:nbn:de:0074-4251-x"},"spt.session":null,"cvb.id":"Vol-4251/paper_01","cvb.title":"Privacy-Preserving Federated Learning and Analytics with FLAME","cvb.type":null,"cvb.position":null,"cvb.pagesFrom":null,"cvb.pagesTo":null,"cvb.authors":"Marius Herr,Hammam Abu Attieh,Peter Placzek,Mehmed Halilovic,Bruce Schultz,David Hieber,Alexander Röhl,Mehrshad Jaberansary,Paul Brassel,Max Schaible,Toralf Kirsten,Fabian Prasser,Oliver Kohlbacher","cvb.pages":"1-5","cvb.vol_number":"4251","cvb.pdf_name":"paper_01.pdf","cvb.fail":null}