{"id":"https://openalex.org/W7128470193","doi":"https://doi.org/10.1007/s00607-026-01620-5","title":"Federated survival analysis via data augmentation using multi-task variational autoencoder","display_name":"Federated survival analysis via data augmentation using multi-task variational autoencoder","publication_year":2026,"publication_date":"2026-02-01","ids":{"openalex":"https://openalex.org/W7128470193","doi":"https://doi.org/10.1007/s00607-026-01620-5"},"language":"en","primary_location":{"id":"doi:10.1007/s00607-026-01620-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00607-026-01620-5","pdf_url":null,"source":{"id":"https://openalex.org/S35593046","display_name":"Computing","issn_l":"0010-485X","issn":["0010-485X","1436-5057"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125591067","display_name":"Wenjun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I144581915","display_name":"Jishou University","ror":"https://ror.org/056szk247","country_code":"CN","type":"education","lineage":["https://openalex.org/I144581915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"WenJun Wang","raw_affiliation_strings":["School of Mathematics & Statistics, Central South University, Changsha, 411083, China","School of Mathematics & Statistics, Jishou University, Jishou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics & Statistics, Central South University, Changsha, 411083, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Mathematics & Statistics, Jishou University, Jishou, China","institution_ids":["https://openalex.org/I144581915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125543782","display_name":"Yi Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zou","raw_affiliation_strings":["School of Mathematics & Statistics, Central South University, Changsha, 411083, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics & Statistics, Central South University, Changsha, 411083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125481290","display_name":"Zhuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuan Zhang","raw_affiliation_strings":["School of Mathematics & Statistics, Central South University, Changsha, 411083, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics & Statistics, Central South University, Changsha, 411083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125580703","display_name":"Hong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Wang","raw_affiliation_strings":["School of Mathematics & Statistics, Central South University, Changsha, 411083, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics & Statistics, Central South University, Changsha, 411083, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5125580703"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32675884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"108","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.28060001134872437,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.28060001134872437,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.12189999967813492,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.06310000270605087,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8730999827384949},{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.7907000184059143},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.6743999719619751},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.5701000094413757},{"id":"https://openalex.org/keywords/accelerated-failure-time-model","display_name":"Accelerated failure time model","score":0.42809998989105225},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.32120001316070557}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8730999827384949},{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.7907000184059143},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.6743999719619751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6743000149726868},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.5701000094413757},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5144000053405762},{"id":"https://openalex.org/C33114746","wikidata":"https://www.wikidata.org/wiki/Q4672282","display_name":"Accelerated failure time model","level":3,"score":0.42809998989105225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4018000066280365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3896999955177307},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C2776540566","wikidata":"https://www.wikidata.org/wiki/Q1432420","display_name":"Kaplan\u2013Meier estimator","level":3,"score":0.3003000020980835},{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C42600057","wikidata":"https://www.wikidata.org/wiki/Q2915096","display_name":"Survival function","level":3,"score":0.27619999647140503},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C22614528","wikidata":"https://www.wikidata.org/wiki/Q721322","display_name":"Survival of the fittest","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00607-026-01620-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00607-026-01620-5","pdf_url":null,"source":{"id":"https://openalex.org/S35593046","display_name":"Computing","issn_l":"0010-485X","issn":["0010-485X","1436-5057"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7014605402946472,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3016875148","display_name":null,"funder_award_id":"512340002","funder_id":"https://openalex.org/F4320335880","funder_display_name":"Fundamental Research Funds for Central Universities of the Central South University"}],"funders":[{"id":"https://openalex.org/F4320335880","display_name":"Fundamental Research Funds for Central Universities of the Central South University","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1946622722","https://openalex.org/W1969287059","https://openalex.org/W1985299015","https://openalex.org/W1986546598","https://openalex.org/W1994670953","https://openalex.org/W2000703258","https://openalex.org/W2004655916","https://openalex.org/W2028065906","https://openalex.org/W2038981426","https://openalex.org/W2052825782","https://openalex.org/W2099620796","https://openalex.org/W2127611910","https://openalex.org/W2128542677","https://openalex.org/W2148143831","https://openalex.org/W2157076315","https://openalex.org/W2255487108","https://openalex.org/W2464257012","https://openalex.org/W2481970566","https://openalex.org/W2561265960","https://openalex.org/W2753919178","https://openalex.org/W2963223306","https://openalex.org/W3124379712","https://openalex.org/W3147894994","https://openalex.org/W3174860495","https://openalex.org/W3185990443","https://openalex.org/W3189069319","https://openalex.org/W3197233575","https://openalex.org/W3202929943","https://openalex.org/W4253599671","https://openalex.org/W4293241248","https://openalex.org/W4295806247","https://openalex.org/W4297470676","https://openalex.org/W4318479322","https://openalex.org/W4322628645","https://openalex.org/W4407686414"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-02-11T00:00:00"}