{"id":"https://openalex.org/W4226107175","doi":"https://doi.org/10.1109/tnse.2022.3163279","title":"Improving Accuracy and Convergence in Group-Based Federated Learning on Non-IID Data","display_name":"Improving Accuracy and Convergence in Group-Based Federated Learning on Non-IID Data","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W4226107175","doi":"https://doi.org/10.1109/tnse.2022.3163279"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2022.3163279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2022.3163279","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","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/A5067506647","display_name":"Ziqi He","orcid":"https://orcid.org/0000-0002-3743-7092"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi He","raw_affiliation_strings":["College of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3743-7092","affiliations":[{"raw_affiliation_string":"College of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050067325","display_name":"Lei Yang","orcid":"https://orcid.org/0000-0002-8732-3675"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yang","raw_affiliation_strings":["College of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8732-3675","affiliations":[{"raw_affiliation_string":"College of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046176565","display_name":"Wanyu Lin","orcid":"https://orcid.org/0000-0002-7328-8039"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wanyu Lin","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084826798","display_name":"Weigang Wu","orcid":"https://orcid.org/0000-0002-4714-7021"},"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":"Weigang Wu","raw_affiliation_strings":["College of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4714-7021","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0521,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.92320239,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"3","first_page":"1389","last_page":"1404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9472000002861023,"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":0.7593967318534851},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.7076734304428101},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.6852309703826904},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4934450685977936},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4797857403755188},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.422254741191864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36986014246940613},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36375701427459717},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33133167028427124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7593967318534851},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7076734304428101},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.6852309703826904},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4934450685977936},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4797857403755188},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.422254741191864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36986014246940613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36375701427459717},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33133167028427124},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2022.3163279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2022.3163279","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2979071180","display_name":null,"funder_award_id":"2020A1515011496","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G3928869049","display_name":"\u534f\u4f5c\u5f0f\u8fb9\u7f18\u8ba1\u7b97\u4e2d\u7f51\u7edc\u611f\u77e5\u7684\u4efb\u52a1\u8c03\u5ea6\u6280\u672f\u7814\u7a76","funder_award_id":"61972161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4905520761","display_name":null,"funder_award_id":"U1801266","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"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2016053056","https://openalex.org/W2083842231","https://openalex.org/W2116612304","https://openalex.org/W2168231600","https://openalex.org/W2169528473","https://openalex.org/W2535838896","https://openalex.org/W2734358244","https://openalex.org/W2750384547","https://openalex.org/W2798720628","https://openalex.org/W2807006176","https://openalex.org/W2963318081","https://openalex.org/W2972570881","https://openalex.org/W2975985894","https://openalex.org/W2990789643","https://openalex.org/W3015636663","https://openalex.org/W3021654819","https://openalex.org/W3038022836","https://openalex.org/W3045638580","https://openalex.org/W3045747588","https://openalex.org/W3047518768","https://openalex.org/W3085873903","https://openalex.org/W3105122387","https://openalex.org/W3112251748","https://openalex.org/W3118608800","https://openalex.org/W3128382687","https://openalex.org/W3128578106","https://openalex.org/W3134532073","https://openalex.org/W3134672306","https://openalex.org/W3159623990","https://openalex.org/W3170490848","https://openalex.org/W3184192107","https://openalex.org/W4206320562","https://openalex.org/W4206731046","https://openalex.org/W4287755088","https://openalex.org/W4289147229","https://openalex.org/W4292084264","https://openalex.org/W4297687186","https://openalex.org/W4318619660","https://openalex.org/W6684859321","https://openalex.org/W6728757088","https://openalex.org/W6743688258","https://openalex.org/W6752029299","https://openalex.org/W6756756286","https://openalex.org/W6759238902","https://openalex.org/W6760385162","https://openalex.org/W6767676916","https://openalex.org/W6768035077","https://openalex.org/W6768537144","https://openalex.org/W6770590064","https://openalex.org/W6779409229","https://openalex.org/W6786902269","https://openalex.org/W6787972765","https://openalex.org/W6790197519"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W2390968135","https://openalex.org/W2382213751","https://openalex.org/W2351750670","https://openalex.org/W1597848696","https://openalex.org/W2354715126","https://openalex.org/W2388563748","https://openalex.org/W2375179084","https://openalex.org/W2366646518","https://openalex.org/W2370906336"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"enables":[3],"a":[4,12,37,56,94],"large":[5],"number":[6,74,107],"of":[7,32,75,85,108,117,138],"edge":[8],"devices":[9],"to":[10,28,40,70,143,159],"learn":[11],"shared":[13],"model":[14,176],"without":[15,104],"data":[16,22,136],"sharing":[17],"collaboratively.":[18],"However,":[19],"the":[20,29,53,73,81,86,106,135,144,149,168,175,180],"imbalanced":[21],"distribution":[23,137],"among":[24],"users":[25,47,103],"poses":[26],"challenges":[27],"convergence":[30],"performance":[31],"FL.":[33],"Group-based":[34,62],"FL":[35,42,63],"is":[36,141],"novel":[38],"framework":[39],"improve":[41,174],"performance,":[43],"which":[44,77,99],"appropriately":[45],"groups":[46,118],"and":[48,83],"allows":[49],"localized":[50],"aggregations":[51],"within":[52],"group":[54,102,140],"before":[55],"global":[57,145],"aggregation.":[58],"Nevertheless,":[59],"most":[60],"existing":[61],"methods":[64],"are":[65,119],"K-means-based":[66],"approaches":[67],"that":[68,134],"need":[69],"explicitly":[71],"specify":[72],"groups,":[76],"may":[78],"severely":[79],"reduce":[80],"efficacy":[82],"optimality":[84],"proposed":[87],"solutions.":[88],"In":[89,124],"this":[90],"paper,":[91],"we":[92],"propose":[93],"grouping":[95,112],"mechanism":[96,171],"called":[97],"Auto-Group,":[98],"can":[100,172],"automatically":[101],"specifying":[105],"groups.":[109],"Specifically,":[110],"various":[111,157],"strategies":[113],"with":[114,121,127,167],"different":[115],"numbers":[116],"generated":[120],"our":[122,170],"mechanism.":[123],"particular,":[125],"equipped":[126],"an":[128],"optimized":[129],"Genetic":[130],"Algorithm,":[131],"Auto-Group":[132],"ensures":[133],"each":[139],"similar":[142],"distribution,":[146],"further":[147],"reducing":[148],"communication":[150],"delay.":[151],"We":[152],"conduct":[153],"extensive":[154],"experiments":[155],"in":[156],"settings":[158],"evaluate":[160],"Auto-Group.":[161],"Experimental":[162],"results":[163],"show":[164],"that,":[165],"compared":[166],"baselines,":[169],"significantly":[173],"accuracy":[177],"while":[178],"accelerating":[179],"training":[181],"speed.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}