{"id":"https://openalex.org/W4410818785","doi":"https://doi.org/10.1145/3737649","title":"Medical Federated Learning with Improved Representation and Personalized Aggregation","display_name":"Medical Federated Learning with Improved Representation and Personalized Aggregation","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4410818785","doi":"https://doi.org/10.1145/3737649"},"language":"en","primary_location":{"id":"doi:10.1145/3737649","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3737649","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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":null,"display_name":"Qinghe Liu","orcid":"https://orcid.org/0009-0003-2885-1608"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghe Liu","raw_affiliation_strings":["The Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-2885-1608","affiliations":[{"raw_affiliation_string":"The Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046454644","display_name":"Mengya Jiang","orcid":"https://orcid.org/0009-0003-8335-214X"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingming Jiang","raw_affiliation_strings":["The Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-8335-214X","affiliations":[{"raw_affiliation_string":"The Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pin Wang","orcid":"https://orcid.org/0009-0008-8697-9569"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin Wang","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0008-8697-9569","affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hongli Xu","orcid":"https://orcid.org/0009-0005-0335-1855"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Xu","raw_affiliation_strings":["Chinese PLA General Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-0335-1855","affiliations":[{"raw_affiliation_string":"Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029815356","display_name":"Rilige Wu","orcid":"https://orcid.org/0000-0002-5293-0782"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rilige Wu","raw_affiliation_strings":["The Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5293-0782","affiliations":[{"raw_affiliation_string":"The Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101867605","display_name":"Zhenfeng Zhu","orcid":"https://orcid.org/0000-0001-7315-3276"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfeng Zhu","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China, and Institute of Information Science, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, and Institute of Information Science, China"],"raw_orcid":"https://orcid.org/0000-0001-7315-3276","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China, and Institute of Information Science, Beijing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, and Institute of Information Science, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["School of Computer Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9066-1475","affiliations":[{"raw_affiliation_string":"School of Computer Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032148021","display_name":"Yawei Zhao","orcid":"https://orcid.org/0000-0001-8352-0092"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yawei Zhao","raw_affiliation_strings":["The Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8352-0092","affiliations":[{"raw_affiliation_string":"The Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027802880","display_name":"Kunlun He","orcid":"https://orcid.org/0000-0002-3335-5700"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunlun He","raw_affiliation_strings":["The Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3335-5700","affiliations":[{"raw_affiliation_string":"The Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04951037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"1","first_page":"1","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9988999962806702,"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":0.9988999962806702,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9934999942779541,"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/T10862","display_name":"AI in cancer detection","score":0.9929999709129333,"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/computer-science","display_name":"Computer science","score":0.6630140542984009},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.653164267539978},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4398185610771179},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4137924313545227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40467655658721924},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3521308898925781},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34317728877067566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6630140542984009},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.653164267539978},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4398185610771179},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4137924313545227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40467655658721924},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3521308898925781},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34317728877067566},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3737649","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3737649","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G449509765","display_name":null,"funder_award_id":"62302522","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W1999512166","https://openalex.org/W2592929672","https://openalex.org/W2610332124","https://openalex.org/W2949530802","https://openalex.org/W2952252150","https://openalex.org/W2989676862","https://openalex.org/W3034163621","https://openalex.org/W3097492491","https://openalex.org/W3104631511","https://openalex.org/W3133814152","https://openalex.org/W3167841610","https://openalex.org/W3192953632","https://openalex.org/W3213291156","https://openalex.org/W4200152658","https://openalex.org/W4213245422","https://openalex.org/W4221030344","https://openalex.org/W4283721252","https://openalex.org/W4285817743","https://openalex.org/W4298352247","https://openalex.org/W4361799002","https://openalex.org/W4387211769","https://openalex.org/W4391143046","https://openalex.org/W4391849646","https://openalex.org/W4402917261","https://openalex.org/W4403143911","https://openalex.org/W4403625955"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2961085424","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W4224009465","https://openalex.org/W4324271173","https://openalex.org/W2352227742","https://openalex.org/W4390679071"],"abstract_inverted_index":{"Federated":[0],"learning":[1,9,34],"is":[2,93,132],"a":[3,78,85],"promising":[4],"bridge":[5],"that":[6],"connects":[7],"machine":[8],"methods":[10,31],"and":[11,22,55,74,102,121,128,176,198],"multi-central":[12],"medical":[13,179],"data.":[14,27],"It":[15],"trains":[16],"models":[17,118,162],"using":[18],"the":[19,24,60,114,142,156,160,189],"local":[20,56,129,143,153],"data,":[21],"protects":[23],"privacy":[25],"of":[26,48,116],"There":[28],"are":[29,155],"many":[30],"for":[32,134,159],"federated":[33,184],"to":[35,53,83,94,163],"aggregate":[36],"models,":[37],"especially":[38],"personalized":[39,104,117,135,139,161],"methods,":[40,185],"which":[41,112,131],"show":[42],"relatively":[43],"excellent":[44],"performance.":[45],"However,":[46],"most":[47],"them":[49],"excessively":[50],"pay":[51],"attention":[52],"global":[54,127],"information":[57,144,154],"while":[58],"ignoring":[59],"random":[61,100],"components":[62],"during":[63,149],"aggregating.":[64],"That":[65],"limits":[66],"their":[67],"performance":[68,115,191],"in":[69,119,166,173,192],"metrics":[70,193],"like":[71],"accuracy,":[72,195],"specificity,":[73,196],"sensitivity.":[75,122],"We":[76],"propose":[77],"method":[79,140,172,187],"(denoted":[80],"by":[81],"FedDiv)":[82],"make":[84],"balance":[86],"between":[87],"these":[88],"metrics.":[89],"The":[90],"basic":[91],"idea":[92],"extract":[95],"centralized":[96,107],"features":[97,108],"meanwhile":[98],"filtering":[99],"components,":[101],"conduct":[103],"aggregation.":[105,136],"These":[106,152],"draw":[109],"encoders\u2019":[110],"attention,":[111],"enhances":[113],"specificity":[120],"Besides,":[123],"they":[124],"contain":[125],"more":[126],"information,":[130],"advantageous":[133],"Meanwhile,":[137],"our":[138,186],"preserves":[141],"as":[145,147],"far":[146],"possible":[148],"aggregating":[150],"models.":[151],"critical":[157],"factor":[158],"perform":[164],"better":[165],"accuracy.":[167],"Finally,":[168],"we":[169],"validate":[170],"this":[171],"three":[174],"public":[175],"one":[177],"private":[178],"datasets.":[180],"Comparing":[181],"with":[182],"14":[183],"achieves":[188],"best":[190],"including":[194],"sensitivity,":[197],"F1":[199],"score.":[200]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}