{"id":"https://openalex.org/W7159686730","doi":"https://doi.org/10.48550/arxiv.2604.27456","title":"Federated Generation of Synthetic RNA-seq Data","display_name":"Federated Generation of Synthetic RNA-seq Data","publication_year":2026,"publication_date":"2026-04-30","ids":{"openalex":"https://openalex.org/W7159686730","doi":"https://doi.org/10.48550/arxiv.2604.27456"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.27456","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.27456","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.27456","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120560907","display_name":"Daniil Filienko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Filienko, Daniil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056749857","display_name":"Martine De Cock","orcid":"https://orcid.org/0000-0001-7917-0771"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"De Cock, Martine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134976869","display_name":"Sikha Pentyala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pentyala, Sikha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9064000248908997,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9064000248908997,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.043800000101327896,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.0027000000700354576,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.7437000274658203},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.6115000247955322},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5024999976158142},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.49300000071525574},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4837999939918518},{"id":"https://openalex.org/keywords/data-sharing","display_name":"Data sharing","score":0.4733000099658966},{"id":"https://openalex.org/keywords/data-access","display_name":"Data access","score":0.41040000319480896},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4059999883174896},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.32030001282691956},{"id":"https://openalex.org/keywords/real-world-data","display_name":"Real world data","score":0.3149000108242035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8266000151634216},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.7437000274658203},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.6115000247955322},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5504000186920166},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5024999976158142},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.49300000071525574},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4837999939918518},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.4733000099658966},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.41040000319480896},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4059999883174896},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C80344994","wikidata":"https://www.wikidata.org/wiki/Q5227369","display_name":"Data virtualization","level":4,"score":0.288100004196167},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2712000012397766},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2644999921321869},{"id":"https://openalex.org/C2776945810","wikidata":"https://www.wikidata.org/wiki/Q17006654","display_name":"Data anonymization","level":3,"score":0.2612000107765198},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2547999918460846},{"id":"https://openalex.org/C56288433","wikidata":"https://www.wikidata.org/wiki/Q58673","display_name":"Data manipulation language","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.27456","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.27456","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.27456","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.27456","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4040089249610901}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Access":[0],"to":[1,8,24,87,103,139,158,177],"genomic":[2,49],"data":[3,17,33,42,50,59,64,81,86,96,120,137,144,169,218,222],"is":[4],"highly":[5],"regulated":[6],"due":[7],"its":[9,168],"sensitive":[10,46],"nature.":[11],"While":[12],"safeguards":[13],"are":[14,51,223],"essential,":[15],"cumbersome":[16],"access":[18],"processes":[19],"pose":[20],"a":[21,79,123,142],"significant":[22],"barrier":[23],"the":[25,73,186,193,196],"development":[26],"of":[27,126,195],"AI":[28],"methods":[29],"for":[30,121],"genomics.":[31],"Synthetic":[32,48],"generation":[34],"can":[35],"mitigate":[36],"this":[37,133],"tension":[38],"by":[39,53,181,199],"enabling":[40],"broader":[41],"sharing":[43],"without":[44,146],"exposing":[45],"information.":[47],"produced":[52],"training":[54],"generative":[55,90],"models":[56],"on":[57],"real":[58,206],"and":[60],"subsequently":[61],"sampling":[62],"artificial":[63],"that":[65,163,213],"preserves":[66],"relevant":[67],"statistics":[68],"while":[69],"limiting":[70],"disclosures":[71],"about":[72],"underlying":[74],"individuals.":[75],"In":[76],"some":[77],"settings,":[78,211],"single":[80],"holder":[82],"may":[83],"have":[84],"sufficient":[85],"train":[88,141],"such":[89],"models;":[91],"however,":[92],"in":[93,111,132,170,209],"many":[94],"applications":[95],"must":[97],"be":[98],"combined":[99],"across":[100,225],"multiple":[101,136,205],"sites":[102],"achieve":[104],"adequate":[105],"scale.":[106],"This":[107],"need":[108],"arises,":[109],"e.g.,":[110],"rare":[112],"disease":[113],"studies,":[114],"where":[115],"individual":[116],"hospitals":[117],"typically":[118],"hold":[119],"only":[122],"small":[124],"number":[125],"patients.":[127],"The":[128],"solution":[129],"we":[130],"present":[131],"paper":[134],"enables":[135,216],"holders":[138],"jointly":[140],"synthetic":[143,188,202],"generator":[145],"revealing":[147],"their":[148],"raw":[149],"data.":[150,189],"Our":[151],"approach":[152,215],"combines":[153],"secure":[154],"multiparty":[155],"computation":[156],"(MPC)":[157],"ensure":[159],"input":[160],"privacy,":[161],"so":[162],"no":[164],"party":[165],"ever":[166],"discloses":[167],"unencrypted":[171],"form,":[172],"with":[173],"differential":[174],"privacy":[175,180],"(DP)":[176],"provide":[178],"output":[179],"mitigating":[182],"information":[183],"leakage":[184],"from":[185,204],"released":[187],"We":[190],"empirically":[191],"demonstrate":[192],"effectiveness":[194],"proposed":[197],"method":[198],"generating":[200],"high-utility":[201],"datasets":[203],"RNA-seq":[207],"cohorts":[208],"federated":[210],"showing":[212],"our":[214],"privacy-preserving":[217],"synthesis":[219],"even":[220],"when":[221],"distributed":[224],"institutions.":[226]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-02T00:00:00"}