{"id":"https://openalex.org/W4315777498","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008750","title":"Clustered Federated Learning with Model Integration for Non-IID Data in Wireless Networks","display_name":"Clustered Federated Learning with Model Integration for Non-IID Data in Wireless Networks","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315777498","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008750"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps56602.2022.10008750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps56602.2022.10008750","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100319491","display_name":"Jingyi Wang","orcid":"https://orcid.org/0000-0001-7113-7635"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,The State Key Laboratory of Networking and Switching Technology,Beijing,China.,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,The State Key Laboratory of Networking and Switching Technology,Beijing,China.,100876","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044412948","display_name":"Zhongyuan Zhao","orcid":"https://orcid.org/0000-0002-8218-7723"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyuan Zhao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,The State Key Laboratory of Networking and Switching Technology,Beijing,China.,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,The State Key Laboratory of Networking and Switching Technology,Beijing,China.,100876","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068250205","display_name":"Wei Hong","orcid":"https://orcid.org/0000-0003-3740-2700"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Hong","raw_affiliation_strings":["Beijing Xiaomi Mobile Software,Beijing,China.,100085"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Xiaomi Mobile Software,Beijing,China.,100085","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030858163","display_name":"Tony Q. S. Quek","orcid":"https://orcid.org/0000-0002-4037-3149"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tony Q. S. Quek","raw_affiliation_strings":["Singapore University of Technology and Design,Singapore.,487372"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design,Singapore.,487372","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002904166","display_name":"Zhiguo Ding","orcid":"https://orcid.org/0000-0001-5280-384X"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhiguo Ding","raw_affiliation_strings":["The University of Manchester,Manchester M13 9PL,UK","Manchester M13 9PL, The University of Manchester, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Manchester,Manchester M13 9PL,UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"Manchester M13 9PL, The University of Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0121,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79217793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1634","last_page":"1639"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8362222909927368},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6119022965431213},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5985143184661865},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.586275577545166},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5716710686683655},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.539118766784668},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5370084047317505},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4869271516799927},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4793320894241333},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.47241511940956116},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4314943552017212},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.41216039657592773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40888768434524536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3794534206390381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3741058111190796},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1232985258102417},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11838307976722717},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.08206304907798767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8362222909927368},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6119022965431213},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5985143184661865},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.586275577545166},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5716710686683655},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.539118766784668},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5370084047317505},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4869271516799927},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4793320894241333},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.47241511940956116},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4314943552017212},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.41216039657592773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40888768434524536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3794534206390381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3741058111190796},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1232985258102417},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11838307976722717},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.08206304907798767},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps56602.2022.10008750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps56602.2022.10008750","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":11,"referenced_works":["https://openalex.org/W2104094955","https://openalex.org/W2397723600","https://openalex.org/W2981096252","https://openalex.org/W3090615085","https://openalex.org/W3109847748","https://openalex.org/W3196463200","https://openalex.org/W4287788058","https://openalex.org/W6676963778","https://openalex.org/W6728757088","https://openalex.org/W6759238902","https://openalex.org/W6841242722"],"related_works":["https://openalex.org/W4317941881","https://openalex.org/W4398164851","https://openalex.org/W3035996294","https://openalex.org/W4229067761","https://openalex.org/W4323521275","https://openalex.org/W4220738117","https://openalex.org/W3091296419","https://openalex.org/W2954034773","https://openalex.org/W4322741898","https://openalex.org/W4320067866"],"abstract_inverted_index":{"As":[0],"a":[1,64,171],"typical":[2],"distributed":[3],"learning":[4,7,49,67,119],"paradigm,":[5],"federated":[6,48,66,114],"has":[8],"enabled":[9],"network":[10],"edge":[11,26,51],"intelligence":[12],"by":[13,96,123],"making":[14],"full":[15],"use":[16],"of":[17,37,43,47,78,102,140,153,190],"the":[18,22,34,41,75,89,98,106,118,137,151,165,179,186],"local":[19],"data":[20,38,154],"and":[21,40,100,105,156],"computing":[23],"resources":[24],"at":[25],"devices":[27],"without":[28],"privacy":[29],"leakage.":[30],"However,":[31],"due":[32],"to":[33,87,126,184],"non-IID":[35],"characteristics":[36],"samples":[39],"unreliability":[42],"transmission":[44],"circumstances,":[45],"deployment":[46],"in":[50,61,168],"networks":[52],"cannot":[53],"be":[54,110],"well":[55],"guaranteed.":[56],"To":[57,162],"tackle":[58],"these":[59],"challenges,":[60],"this":[62],"paper,":[63],"clustered":[65],"paradigm":[68,80,143],"with":[69],"model":[70,124,160],"integration":[71,125],"is":[72,81,86,144,175],"proposed.":[73],"First,":[74],"detailed":[76],"framework":[77],"our":[79,141,191],"introduced.":[82],"The":[83],"key":[84],"idea":[85],"divide":[88],"users":[90],"into":[91],"multiple":[92],"individual":[93],"user":[94,172],"clusters":[95],"managing":[97],"scale":[99],"participants":[101],"each":[103],"cluster,":[104],"distribution":[107],"divergence":[108],"can":[109],"mitigated":[111],"via":[112],"cluster-based":[113],"learning.":[115],"Then,":[116],"all":[117],"models":[120],"are":[121,182],"ensembled":[122],"generalize":[127],"on":[128,136,159],"various":[129],"target":[130],"tasks.":[131],"Second,":[132],"an":[133],"upper":[134],"bound":[135],"accuracy":[138,166],"loss":[139],"proposed":[142,192],"derived,":[145],"which":[146],"provides":[147],"some":[148],"insights":[149],"for":[150],"impact":[152],"distributions":[155],"channel":[157],"qualities":[158],"performance.":[161],"further":[163],"improve":[164],"performance":[167,188],"wireless":[169],"networks,":[170],"clustering":[173],"algorithm":[174],"sophisticatedly":[176],"designed.":[177],"Finally,":[178],"simulation":[180],"results":[181],"provided":[183],"verify":[185],"significant":[187],"gains":[189],"framework.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
