{"id":"https://openalex.org/W4402897089","doi":"https://doi.org/10.1109/iwqos61813.2024.10682872","title":"FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning","display_name":"FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning","publication_year":2024,"publication_date":"2024-06-19","ids":{"openalex":"https://openalex.org/W4402897089","doi":"https://doi.org/10.1109/iwqos61813.2024.10682872"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos61813.2024.10682872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos61813.2024.10682872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS)","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/A5045759968","display_name":"Meihan Wu","orcid":null},"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":true,"raw_author_name":"Meihan Wu","raw_affiliation_strings":["National University of Defense Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360971","display_name":"Li Li","orcid":"https://orcid.org/0000-0001-5512-6629"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["University of Macau,Macau,China"],"affiliations":[{"raw_affiliation_string":"University of Macau,Macau,China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088631540","display_name":"Tao Chang","orcid":"https://orcid.org/0000-0002-3572-2877"},"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":"Tao Chang","raw_affiliation_strings":["National University of Defense Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018873974","display_name":"Peng Qiao","orcid":"https://orcid.org/0000-0002-7882-6449"},"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":"Peng Qiao","raw_affiliation_strings":["National University of Defense Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006080858","display_name":"Miao Cui","orcid":"https://orcid.org/0000-0002-3402-8664"},"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":"Cui Miao","raw_affiliation_strings":["National University of Defense Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024102664","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0002-3371-6780"},"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":"Jie Zhou","raw_affiliation_strings":["National University of Defense Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115694775","display_name":"Jingnan Wang","orcid":"https://orcid.org/0009-0004-0111-2140"},"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":"Jingnan Wang","raw_affiliation_strings":["National University of Defense Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115594463","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0003-3926-3505"},"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":"Xiaodong Wang","raw_affiliation_strings":["National University of Defense Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5045759968"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67213806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9976999759674072,"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":0.9976999759674072,"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/T11614","display_name":"Cloud Data Security Solutions","score":0.9470000267028809,"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/computer-science","display_name":"Computer science","score":0.7866693735122681},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5650477409362793},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.4482031464576721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3632890284061432},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.1472630798816681}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7866693735122681},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5650477409362793},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.4482031464576721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3632890284061432},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.1472630798816681}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos61813.2024.10682872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos61813.2024.10682872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2109426455","https://openalex.org/W2159024459","https://openalex.org/W2194775991","https://openalex.org/W2515329741","https://openalex.org/W2883780447","https://openalex.org/W2963397674","https://openalex.org/W2963433607","https://openalex.org/W2964137095","https://openalex.org/W2982802130","https://openalex.org/W3034997257","https://openalex.org/W3141518839","https://openalex.org/W4221156340","https://openalex.org/W4239989828","https://openalex.org/W4285601829","https://openalex.org/W4312702379","https://openalex.org/W4368232849","https://openalex.org/W4387544256","https://openalex.org/W6638523607","https://openalex.org/W6718379498","https://openalex.org/W6728757088","https://openalex.org/W6730179637","https://openalex.org/W6745689806","https://openalex.org/W6755843862","https://openalex.org/W6759238902","https://openalex.org/W6762840122","https://openalex.org/W6768632158","https://openalex.org/W6772674396","https://openalex.org/W6773817997","https://openalex.org/W6780224944","https://openalex.org/W6783533280","https://openalex.org/W6784239669","https://openalex.org/W6787972765","https://openalex.org/W6847350444"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3123837699"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"enables":[3],"multiple":[4,166],"clients":[5,65],"to":[6,48,98,118,128,145,177,193,222],"collaboratively":[7],"train":[8],"a":[9,92,100,112,129,201],"shared":[10],"server":[11,27,50,73,103,131,157,163,215],"model":[12,28,51,74,104,132,164,189,216],"while":[13,105,133],"preserving":[14],"data":[15,142],"privacy.":[16],"Most":[17],"existing":[18],"FL":[19,95,231],"systems":[20],"rely":[21],"on":[22,63,233],"the":[23,26,40,49,57,60,69,72,76,81,120,135,147,155,171,178,188,211,214,229],"assumption":[24],"that":[25,208],"and":[29,190,196,217,224],"client":[30,109,126,150,168,179,218],"models":[31,127,151,219],"have":[32],"homogeneous":[33],"architecture.":[34],"However,":[35],"intensive":[36],"resource":[37,61],"requirements":[38],"during":[39],"training":[41],"process":[42],"prevent":[43],"low-end":[44],"devices":[45],"from":[46,124,141,154],"contributing":[47],"with":[52,228],"their":[53],"own":[54],"data.":[55],"On":[56],"other":[58],"hand,":[59],"constraints":[62],"participating":[64],"can":[66],"significantly":[67],"limit":[68],"size":[70],"of":[71,84,122,138,149,173,198,213],"in":[75,200],"model-homogeneous":[77],"setting,":[78],"thereby":[79],"restricting":[80],"application":[82],"scope":[83],"FL.":[85],"In":[86,181],"this":[87,161],"work,":[88],"we":[89,183],"propose":[90],"FedEKT,":[91],"novel":[93],"model-heterogeneous":[94],"system":[96],"designed":[97,117],"obtain":[99],"high-performance":[101,156],"large":[102,130,162],"benefiting":[106,153],"heterogeneous":[107,125,167],"small":[108],"models.":[110,180],"Specifically,":[111],"new":[113],"aggregation":[114,195],"approach":[115,232],"is":[116],"enable":[119],"integration":[121],"knowledge":[123,175,199],"mitigating":[134],"adverse":[136],"effects":[137],"biases":[139],"stemming":[140],"heterogeneity.":[143],"Subsequently,":[144],"enhance":[146],"performance":[148],"by":[152,220],"model,":[158],"FedEKT":[159,209],"distills":[160],"into":[165],"models,":[169],"facilitating":[170],"transfer":[172,197],"integrated":[174],"back":[176],"addition,":[182],"design":[184],"specialized":[185],"modules":[186],"within":[187],"communication":[191],"strategy":[192],"accomplish":[194],"data-free":[202],"manner.":[203],"The":[204],"evaluation":[205],"results":[206],"demonstrate":[207],"enhances":[210],"accuracy":[212],"up":[221],"53.96%":[223],"12.35%,":[225],"respectively,":[226],"compared":[227],"state-of-the-art":[230],"CIFAR-100.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}