{"id":"https://openalex.org/W7126049034","doi":"https://doi.org/10.1109/bibm66473.2025.11356387","title":"Trustworthiness Verification for Federated Learning in Web3.0 Healthcare Communities","display_name":"Trustworthiness Verification for Federated Learning in Web3.0 Healthcare Communities","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126049034","doi":"https://doi.org/10.1109/bibm66473.2025.11356387"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-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/A5124210861","display_name":"Tianxin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianxin Wang","raw_affiliation_strings":["School of Management Science and Engineering, Shandong University of Finance and Economics,Jinan,China,250000"],"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Shandong University of Finance and Economics,Jinan,China,250000","institution_ids":["https://openalex.org/I59483232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5124210861"],"corresponding_institution_ids":["https://openalex.org/I59483232"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87360503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2953","last_page":"2959"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8956000208854675,"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":0.8956000208854675,"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":0.026599999517202377,"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":0.010499999858438969,"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/federated-learning","display_name":"Federated learning","score":0.8131999969482422},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.6025000214576721},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.527899980545044},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5149000287055969},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.475600004196167},{"id":"https://openalex.org/keywords/data-verification","display_name":"Data verification","score":0.46869999170303345},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4668000042438507},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.45350000262260437},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4447999894618988}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8131999969482422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7771999835968018},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.6025000214576721},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.527899980545044},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5149000287055969},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.475600004196167},{"id":"https://openalex.org/C49895821","wikidata":"https://www.wikidata.org/wiki/Q5227368","display_name":"Data verification","level":2,"score":0.46869999170303345},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4668000042438507},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.45350000262260437},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4447999894618988},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.3919999897480011},{"id":"https://openalex.org/C2776831232","wikidata":"https://www.wikidata.org/wiki/Q966812","display_name":"Trusted Computing","level":2,"score":0.39160001277923584},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3188999891281128},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C139089976","wikidata":"https://www.wikidata.org/wiki/Q2142273","display_name":"Trusted third party","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2906000018119812},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2565999925136566}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5094858407974243}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2921891944","https://openalex.org/W4309233663","https://openalex.org/W4313165857","https://openalex.org/W4376646349","https://openalex.org/W4380998161","https://openalex.org/W4385283389","https://openalex.org/W4387967957","https://openalex.org/W4388672518","https://openalex.org/W4390357082","https://openalex.org/W4390603618","https://openalex.org/W4390660510","https://openalex.org/W4392356983","https://openalex.org/W4399152888","https://openalex.org/W4399666159","https://openalex.org/W4401865373","https://openalex.org/W4402644008","https://openalex.org/W4403021767","https://openalex.org/W4404756029","https://openalex.org/W4405136719","https://openalex.org/W4405775080","https://openalex.org/W4407392397","https://openalex.org/W4411137752","https://openalex.org/W4411425942"],"related_works":[],"abstract_inverted_index":{"The":[0],"rapid":[1],"development":[2],"of":[3,18,26,44,96,115,127,140,146,153],"Web3.0":[4],"infrastructure":[5],"has":[6],"provided":[7],"new":[8],"approaches":[9],"for":[10,40,80],"building":[11],"wisdom":[12],"healthcare":[13,31],"communities.":[14,128],"However,":[15],"existing":[16],"solutions":[17],"federated":[19,46,51,155],"learning":[20,156],"struggle":[21],"to":[22,64,86,137,158],"handle":[23],"large":[24],"volumes":[25],"multi-modal":[27,45,99],"privacy":[28,66,114],"data":[29],"across":[30],"organizations.":[32,103,116],"This":[33,104],"paper":[34],"proposes":[35],"a":[36,71],"blockchain-based":[37],"verification":[38,79,89],"mechanism":[39,122],"the":[41,49,94,113,125,151],"entire":[42],"process":[43],"learning.":[47],"For":[48],"initial":[50,73],"state":[52],"among":[53],"multiple":[54],"organizations,":[55],"feature":[56],"extraction,":[57],"cosine":[58],"similarity,":[59],"and":[60,67,92,108,143,149],"oracles":[61],"are":[62],"used":[63],"ensure":[65],"security,":[68],"while":[69,111],"establishing":[70],"traceable":[72],"state.":[74],"Then,":[75],"we":[76],"perform":[77],"encrypted":[78],"each":[81],"iteration,":[82],"utilize":[83],"similarity":[84],"matrices":[85],"realize":[87],"mutual":[88],"between":[90],"clients,":[91],"validate":[93],"effectiveness":[95],"dynamically":[97],"expanding":[98],"datasets":[100],"from":[101,160],"different":[102],"reduces":[105],"on-chain":[106,141],"storage":[107,142],"computational":[109,147],"costs":[110],"protecting":[112],"Experimental":[117],"results":[118],"demonstrate":[119],"that":[120],"this":[121],"effectively":[123],"supports":[124],"needs":[126],"Compared":[129],"with":[130],"state-of-the-art":[131],"works,":[132],"our":[133],"method":[134],"saves":[135],"up":[136],"70":[138],"%":[139,145],"54":[144],"costs,":[148],"enables":[150],"performance":[152],"medical":[154],"training":[157],"differ":[159],"conventional":[161],"models":[162],"by":[163],"no":[164],"more":[165],"than":[166],"1.89":[167],"%.":[168]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}
