[{"data":1,"prerenderedAt":93},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-b881b972e3478de1f1c97c98-a6c842f2":3},{"edges":4,"entity":16,"fingerprint":51,"generatedAt":52,"neighbors":53,"schemaVersion":92},[5],{"evidence":6,"evidenceClass":11,"from":12,"id":13,"relation":14,"to":15},{"dataset":7,"field":8,"sourceId":9,"url":10},"german-ai-research-to-transfer-index","cordis_project_code","101136962:output:b881b972e3478de1f1c97c98","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101136962","exact","cordis:101136962","edge:project-output:101136962:b881b972e3478de1f1c97c98","has_observed_output","output:b881b972e3478de1f1c97c98",{"attributes":17,"edgeCount":32,"id":15,"indexable":19,"label":33,"links":34,"slug":46,"sourceRefs":47,"type":50},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":31},0,true,"doi_dedup___::1c777b51f618febf267ebe61aac94a83","publication",[23,26,29],{"scheme":24,"value":25},"arXiv","2409.13473",{"scheme":27,"value":28},"doi","10.1109\u002Fflta63145.2024.10840050",{"scheme":27,"value":30},"10.48550\u002Farxiv.2409.13473","2024-09-17",1,"Flotta: A Secure and Flexible Spark-Inspired Federated Learning Framework",[35,39,43],{"kind":36,"label":37,"url":38},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A1c777b51f618febf267ebe61aac94a83",{"kind":40,"label":41,"url":42},"persistent_identifier","DOI 10.1109\u002Fflta63145.2024.10840050","https:\u002F\u002Fdoi.org\u002F10.1109\u002Fflta63145.2024.10840050",{"kind":40,"label":44,"url":45},"DOI 10.48550\u002Farxiv.2409.13473","https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2409.13473","output-b881b972e3478de1f1c97c98-a6c842f2",[48],{"dataset":7,"field":49,"sourceId":20,"url":38},"openaire_research_product_id","output","sha256:f900ef4095c56ba87077ce36c985f7a08d4d201a60dbb534ce9db8933bdfb8d4","2026-09-26T08:35:38.651Z",[54],{"attributes":55,"description":76,"edgeCount":77,"id":12,"indexable":19,"label":78,"links":79,"slug":86,"sourceRefs":87,"type":91},{"acronym":56,"code":57,"endDate":58,"frameworkProgramme":59,"funding":60,"knowledgeFlow":65,"research":66,"startDate":75},"NextGen","101136962","2027-12-31","HORIZON",{"currency":61,"germanNetEuContributionCents":62,"participantEdgeCount":63,"status":64},"EUR","70447500",3,"linked",null,{"citationDataOutputCount":67,"citedOutputCount":68,"firstPublicationDate":69,"lastPublicationDate":70,"openAccessOutputCount":71,"outputCount":67,"status":64,"totalCitations":72,"typeCounts":73},31,10,"2023-12-01","2026-02-03",29,89,{"dataset":32,"other":18,"publication":74,"software":18},30,"2024-01-01","NEXT GENERATION TOOLS FOR GENOME-CENTRIC MULTIMODAL DATA INTEGRATION IN PERSONALISED CARDIOVASCULAR MEDICINE",27,"NextGen · NEXT GENERATION TOOLS FOR GENOME-CENTRIC MULTIMODAL DATA INTEGRATION IN PERSONALISED CARDIOVASCULAR MEDICINE",[80,82],{"kind":36,"label":81,"url":10},"CORDIS",{"kind":83,"label":84,"url":85},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101136962","project-cordis-101136962-97b4c8d0",[88],{"dataset":89,"field":90,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1790412350631]