{"id":"https://openalex.org/W4406207607","doi":"https://doi.org/10.1109/tccn.2025.3527711","title":"HiveFL: GAN-Empowered Semi-Asynchronous Federated Learning With Self-Determining Clients","display_name":"HiveFL: GAN-Empowered Semi-Asynchronous Federated Learning With Self-Determining Clients","publication_year":2025,"publication_date":"2025-01-09","ids":{"openalex":"https://openalex.org/W4406207607","doi":"https://doi.org/10.1109/tccn.2025.3527711"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2025.3527711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3527711","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive Communications and Networking","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/A5068227459","display_name":"Xiaoming He","orcid":"https://orcid.org/0000-0003-4196-3041"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoming He","raw_affiliation_strings":["School of IoT, Nanjing University of Posts and Telecommunications, Nanjing, China","school of IoT, Nanjing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"School of IoT, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"school of IoT, Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047931252","display_name":"Huawei Huang","orcid":"https://orcid.org/0000-0002-7035-6446"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawei Huang","raw_affiliation_strings":["SSE, Sun Yat-sen University, Guangzhou, China","SSE, Sun Yat-Sen University, China"],"affiliations":[{"raw_affiliation_string":"SSE, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"SSE, Sun Yat-Sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Baozhou Xie","orcid":"https://orcid.org/0009-0006-4766-0438"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baozhou Xie","raw_affiliation_strings":["SSE, Sun Yat-sen University, Guangzhou, China","SSE, Sun Yat-Sen University, China"],"affiliations":[{"raw_affiliation_string":"SSE, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"SSE, Sun Yat-Sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367591","display_name":"Chun Wang","orcid":"https://orcid.org/0000-0003-2695-9781"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Wang","raw_affiliation_strings":["SSE, Sun Yat-sen University, Guangzhou, China","SSE, Sun Yat-Sen University, China"],"affiliations":[{"raw_affiliation_string":"SSE, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"SSE, Sun Yat-Sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101452708","display_name":"Ruixin Li","orcid":"https://orcid.org/0009-0009-0726-9882"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixin Li","raw_affiliation_strings":["SSE, Sun Yat-sen University, Guangzhou, China","SSE, Sun Yat-Sen University, China"],"affiliations":[{"raw_affiliation_string":"SSE, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"SSE, Sun Yat-Sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068811671","display_name":"Huajun Cui","orcid":"https://orcid.org/0000-0002-5579-195X"},"institutions":[{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajun Cui","raw_affiliation_strings":["Digital Intelligence Research Institute, PowerChina Beijing Engineering Corporation Ltd., Beijing, China","Digital Intelligence Research Institute, PowerChina, Beijing Engineering Corporation Limited, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Digital Intelligence Research Institute, PowerChina Beijing Engineering Corporation Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210120238"]},{"raw_affiliation_string":"Digital Intelligence Research Institute, PowerChina, Beijing Engineering Corporation Limited, Beijing, China","institution_ids":["https://openalex.org/I4210120238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012731436","display_name":"Zibin Zheng","orcid":"https://orcid.org/0000-0001-7872-7718"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibin Zheng","raw_affiliation_strings":["SSE, Sun Yat-sen University, Guangzhou, China","SSE, Sun Yat-Sen University, China"],"affiliations":[{"raw_affiliation_string":"SSE, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"SSE, Sun Yat-Sen University, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5068227459"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":16.4979,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98700853,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"11","issue":"2","first_page":"805","last_page":"816"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9915000200271606,"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":0.9915000200271606,"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":0.9740999937057495,"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":0.9444000124931335,"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":0.8233561515808105},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.758094072341919},{"id":"https://openalex.org/keywords/asynchronous-learning","display_name":"Asynchronous learning","score":0.5213964581489563},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4544951021671295},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37761688232421875},{"id":"https://openalex.org/keywords/synchronous-learning","display_name":"Synchronous learning","score":0.1252393126487732},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07132822275161743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8233561515808105},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.758094072341919},{"id":"https://openalex.org/C2777072894","wikidata":"https://www.wikidata.org/wiki/Q4812204","display_name":"Asynchronous learning","level":5,"score":0.5213964581489563},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4544951021671295},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37761688232421875},{"id":"https://openalex.org/C19122763","wikidata":"https://www.wikidata.org/wiki/Q7662215","display_name":"Synchronous learning","level":4,"score":0.1252393126487732},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07132822275161743},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.0},{"id":"https://openalex.org/C51672120","wikidata":"https://www.wikidata.org/wiki/Q303446","display_name":"Cooperative learning","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2025.3527711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3527711","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3554439832","display_name":null,"funder_award_id":"62402246","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2402144811","https://openalex.org/W2530417694","https://openalex.org/W2562344159","https://openalex.org/W2734358244","https://openalex.org/W2798720628","https://openalex.org/W2975156709","https://openalex.org/W2978709794","https://openalex.org/W2995022099","https://openalex.org/W2998045710","https://openalex.org/W3021654819","https://openalex.org/W3090615085","https://openalex.org/W3131195871","https://openalex.org/W3133599480","https://openalex.org/W3136022984","https://openalex.org/W3155611867","https://openalex.org/W3203503583","https://openalex.org/W4200635003","https://openalex.org/W4221143748","https://openalex.org/W4283817857","https://openalex.org/W4306178637","https://openalex.org/W4312702379","https://openalex.org/W4313153564","https://openalex.org/W4317926962","https://openalex.org/W4383753827","https://openalex.org/W4386243234","https://openalex.org/W4387212306","https://openalex.org/W6637131181","https://openalex.org/W6728757088","https://openalex.org/W6739554518","https://openalex.org/W6743688258","https://openalex.org/W6755988804","https://openalex.org/W6759226220","https://openalex.org/W6766978945","https://openalex.org/W6767782324","https://openalex.org/W6787972765","https://openalex.org/W6789696786","https://openalex.org/W6798952163","https://openalex.org/W6803156910"],"related_works":["https://openalex.org/W4226047841","https://openalex.org/W2156559761","https://openalex.org/W3020208395","https://openalex.org/W2496167052","https://openalex.org/W1956936791","https://openalex.org/W2041343407","https://openalex.org/W4401821536","https://openalex.org/W2058515809","https://openalex.org/W4295242624","https://openalex.org/W2946278724"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"has":[3,158],"gained":[4],"substantial":[5],"attention":[6],"as":[7],"a":[8,110,124],"promising":[9],"solution":[10],"to":[11,62,73,103,109,140,167,180,186,233,253],"the":[12,31,52,58,90,95,135,149,159,187,195,203,209,222,235,246,264,268],"need":[13],"for":[14],"client":[15,79,240,256],"privacy":[16],"in":[17,44,81,105,129,137,182,271],"mobile":[18],"edge":[19],"computing":[20],"(MEC).":[21],"However,":[22],"FL":[23,56,92,106,127,183,260],"suffers":[24],"from":[25],"instability":[26],"of":[27,30,41,51,54,88,113,151,189,266],"accuracy":[28,143,207],"because":[29,78],"invalid":[32],"clients":[33,64,77,102,131,166,174],"who":[34],"become":[35],"stragglers":[36],"caused":[37],"by":[38,154,177,213,227,229,238],"frequent":[39],"fluctuation":[40],"available":[42],"resources":[43,80,152],"MEC.":[45],"To":[46],"tackle":[47],"this":[48,119],"challenge,":[49],"most":[50],"frameworks":[53,93],"asynchronous":[55],"allow":[57],"parameter":[59],"server":[60],"(PS)":[61],"schedule":[63],"reasonably.":[65],"This":[66],"centralized":[67],"decision-making":[68],"paradigm":[69],"makes":[70],"it":[71],"difficult":[72],"select":[74],"all":[75,100],"potential":[76,101],"MEC":[82],"vary":[83],"frequently.":[84],"As":[85],"another":[86],"category":[87],"solutions,":[89],"semi-asynchronous":[91,126],"follow":[94],"selection-after-training":[96],"paradigm,":[97],"which":[98,130],"allows":[99,165],"participate":[104,181],"but":[107],"leads":[108],"large":[111],"waste":[112,150],"computation":[114,224],"and":[115,144,208,215],"communication":[116],"resources.":[117],"In":[118,231],"paper,":[120],"we":[121,244],"propose":[122],"HiveFL,":[123],"new":[125],"framework":[128],"can":[132,220],"proactively":[133],"evaluate":[134],"changes":[136],"their":[138,169,190],"resources,":[139],"improve":[141],"global":[142,205],"reduce":[145,221],"system":[146],"overhead":[147],"(i.e.,":[148],"induced":[153],"ineffective":[155],"clients).":[156],"HiveFL":[157,164,201,219],"following":[160],"notable":[161],"properties.":[162],"Firstly,":[163],"perceive":[168],"resource":[170,191,241],"status.":[171,192],"Then,":[172],"self-determining":[173],"autonomously":[175],"determine":[176],"themselves":[178],"whether":[179],"training":[184,259],"according":[185],"evaluation":[188],"Secondly,":[193],"comparing":[194],"experimental":[196],"results":[197],"with":[198],"other":[199],"baselines,":[200],"improves":[202],"average":[204,223],"test":[206],"effective":[210],"update":[211],"ratio":[212],"5.20%-22.21%":[214],"20.3%-88.6%,":[216],"respectively.":[217],"Finally,":[218],"cost":[225],"(measured":[226],"FLOPs)":[228],"31.04%-81.45%.":[230],"addition,":[232],"address":[234],"problem":[236],"brought":[237],"limited":[239],"status":[242],"data,":[243],"adopt":[245],"time-series":[247],"Generative":[248],"Adversarial":[249],"Networks":[250],"(TimeGAN)":[251],"method":[252],"provide":[254],"more":[255],"data":[257,270],"while":[258],"models.":[261],"We":[262],"prove":[263],"effectiveness":[265],"introducing":[267],"GAN-generated":[269],"our":[272],"experiments.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}