[{"data":1,"prerenderedAt":104},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-3952dcfe6dda4ddd7dc56226-b6cc455a":3},{"edges":4,"entity":16,"fingerprint":57,"generatedAt":58,"neighbors":59,"schemaVersion":103},[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","101073558:output:3952dcfe6dda4ddd7dc56226","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101073558","exact","cordis:101073558","edge:project-output:101073558:3952dcfe6dda4ddd7dc56226","has_observed_output","output:3952dcfe6dda4ddd7dc56226",{"attributes":17,"edgeCount":38,"id":15,"indexable":19,"label":39,"links":40,"slug":52,"sourceRefs":53,"type":56},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":37},3,true,"doi_dedup___::e30af70a5ffbafc7e3e452bf1ff38d3d","publication",[23,26,29,31,34],{"scheme":24,"value":25},"arXiv","2402.13989",{"scheme":27,"value":28},"doi","10.1016\u002Fj.neunet.2024.106772",{"scheme":27,"value":30},"10.48550\u002Farxiv.2402.13989",{"scheme":32,"value":33},"handle","10486\u002F716429",{"scheme":35,"value":36},"pmid","39418815","2025-01-01",1,"FedADMM-InSa: An inexact and self-adaptive ADMM for federated learning",[41,45,49],{"kind":42,"label":43,"url":44},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3Ae30af70a5ffbafc7e3e452bf1ff38d3d",{"kind":46,"label":47,"url":48},"persistent_identifier","DOI 10.1016\u002Fj.neunet.2024.106772","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.neunet.2024.106772",{"kind":46,"label":50,"url":51},"DOI 10.48550\u002Farxiv.2402.13989","https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2402.13989","output-3952dcfe6dda4ddd7dc56226-b6cc455a",[54],{"dataset":7,"field":55,"sourceId":20,"url":44},"openaire_research_product_id","output","sha256:0a7a64bf1013775d4880bc6a0b03635f3845c7b38a345a5ff9c4b8b822310b08","2026-10-01T04:36:13.695Z",[60],{"attributes":61,"description":87,"edgeCount":88,"id":12,"indexable":19,"label":89,"links":90,"slug":97,"sourceRefs":98,"type":102},{"acronym":62,"code":63,"endDate":64,"frameworkProgramme":65,"funding":66,"knowledgeFlow":71,"research":77,"startDate":86},"ModConFlex","101073558","2027-01-31","HORIZON",{"currency":67,"germanNetEuContributionCents":68,"participantEdgeCount":69,"status":70},"EUR","104215680",4,"linked",{"citingCountryCount":72,"citingInstitutionCount":73,"distinctCitingWorkCount":74,"firstObservedCitationDate":37,"lastObservedCitationDate":75,"observedCitationEdgeCount":74,"status":76},12,59,24,"2026-09-12","full_input_observation",{"citationDataOutputCount":78,"citedOutputCount":79,"firstPublicationDate":80,"lastPublicationDate":81,"openAccessOutputCount":82,"outputCount":78,"status":70,"totalCitations":83,"typeCounts":84},16,7,"2023-01-01","2026-02-03",14,11,{"dataset":85,"other":85,"publication":78,"software":85},0,"2023-02-01","Modelling and control of flexible structures interacting with fluids",19,"ModConFlex · Modelling and control of flexible structures interacting with fluids",[91,93],{"kind":42,"label":92,"url":10},"CORDIS",{"kind":94,"label":95,"url":96},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101073558","project-cordis-101073558-cb32e05c",[99],{"dataset":100,"field":101,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1790829835939]