{"id":"https://openalex.org/W4396712924","doi":"https://doi.org/10.1109/tmc.2024.3397585","title":"SlaugFL: Efficient Edge Federated Learning With Selective GAN-Based Data Augmentation","display_name":"SlaugFL: Efficient Edge Federated Learning With Selective GAN-Based Data Augmentation","publication_year":2024,"publication_date":"2024-05-07","ids":{"openalex":"https://openalex.org/W4396712924","doi":"https://doi.org/10.1109/tmc.2024.3397585"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2024.3397585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3397585","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","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/A5101412815","display_name":"Jianqi Liu","orcid":"https://orcid.org/0000-0001-9257-6653"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianqi Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062212392","display_name":"Zhiwei Zhao","orcid":"https://orcid.org/0000-0001-5293-0558"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Zhao","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109423417","display_name":"Xiangyang Luo","orcid":"https://orcid.org/0009-0001-2828-387X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Luo","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455171","display_name":"Pan Li","orcid":"https://orcid.org/0000-0001-6522-2446"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pan Li","raw_affiliation_strings":["Case Western Reserve University, Cleveland, OH, USA"],"affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770003","display_name":"Geyong Min","orcid":"https://orcid.org/0000-0003-1395-7314"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Geyong Min","raw_affiliation_strings":["University of Exeter, Exeter, U.K"],"affiliations":[{"raw_affiliation_string":"University of Exeter, Exeter, U.K","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100785158","display_name":"Huiyong Li","orcid":"https://orcid.org/0009-0002-3183-6161"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyong Li","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101412815"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":5.5603,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.96292375,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"23","issue":"12","first_page":"11191","last_page":"11208"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.932200014591217,"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":0.8330508470535278},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7192116975784302},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.6277354955673218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5009310245513916},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48297300934791565},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44994133710861206},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.42018574476242065},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4116032123565674},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38569343090057373},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1327837109565735},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.09780547022819519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8330508470535278},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7192116975784302},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6277354955673218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5009310245513916},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48297300934791565},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44994133710861206},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.42018574476242065},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4116032123565674},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38569343090057373},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1327837109565735},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.09780547022819519},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2024.3397585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3397585","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3404737385","display_name":null,"funder_award_id":"62372094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5602937271","display_name":null,"funder_award_id":"62231006","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":46,"referenced_works":["https://openalex.org/W1557833142","https://openalex.org/W2031533839","https://openalex.org/W2117539524","https://openalex.org/W2125389028","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2807006176","https://openalex.org/W2808420356","https://openalex.org/W2887374115","https://openalex.org/W2903471046","https://openalex.org/W2963306805","https://openalex.org/W2963314614","https://openalex.org/W2970771982","https://openalex.org/W3016839154","https://openalex.org/W3021654819","https://openalex.org/W3034748927","https://openalex.org/W3096831136","https://openalex.org/W3111512201","https://openalex.org/W3118608800","https://openalex.org/W3155499466","https://openalex.org/W3182158470","https://openalex.org/W3204874618","https://openalex.org/W4226101686","https://openalex.org/W4283796083","https://openalex.org/W4312252393","https://openalex.org/W4312933868","https://openalex.org/W4319300193","https://openalex.org/W4360884927","https://openalex.org/W4387682250","https://openalex.org/W6678815747","https://openalex.org/W6688325169","https://openalex.org/W6728757088","https://openalex.org/W6729482032","https://openalex.org/W6752029299","https://openalex.org/W6755312952","https://openalex.org/W6757139170","https://openalex.org/W6759238902","https://openalex.org/W6763048141","https://openalex.org/W6766978945","https://openalex.org/W6773817997","https://openalex.org/W6779525423","https://openalex.org/W6787972765","https://openalex.org/W6795843344","https://openalex.org/W6796484261","https://openalex.org/W6838907135","https://openalex.org/W6846007759"],"related_works":["https://openalex.org/W4313339048","https://openalex.org/W4386004629","https://openalex.org/W3176734149","https://openalex.org/W3201779876","https://openalex.org/W3113627641","https://openalex.org/W2918879532","https://openalex.org/W3083220997","https://openalex.org/W2885461866","https://openalex.org/W2901937988","https://openalex.org/W3162654428"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"has":[3,23,76],"been":[4],"widely":[5],"used":[6],"to":[7,45,84,120,176,188,231,265,295,303],"facilitate":[8],"distributed":[9,27],"and":[10,25,40,93,134,164],"privacy-preserving":[11],"machine":[12],"learning":[13],"in":[14],"recent":[15],"years.":[16],"Different":[17],"from":[18,36,49,194],"centralized":[19],"training":[20,133,192],"that":[21,72,168,284],"usually":[22],"independent":[24],"identically":[26],"(IID)":[28],"distribution":[29],"of":[30,156,209],"all":[31],"users'":[32],"data,":[33,87,180,253],"FL":[34,136],"suffers":[35],"significant":[37],"communication":[38,91,292],"cost":[39,293],"model":[41,132,163,230,240],"performance":[42,137],"degradation":[43],"due":[44],"the":[46,56,73,77,127,139,144,154,169,177,195,200,220,227,233,237,246,250,291,299,304],"non-IID":[47,217],"data":[48,109,152,171,218],"individual":[50],"edge":[51,114],"devices.":[52],"Existing":[53],"work":[54],"calibrates":[55],"local":[57,123,179,185,239,269,278],"models":[58,159],"using":[59],"a":[60,105,173,205],"global":[61,65,78,258],"anchor":[62],"or":[63,80],"sharing":[64],"data.":[66,198,248],"However,":[67],"these":[68,183,272],"studies":[69],"either":[70],"assume":[71],"central":[74,128],"server":[75,129,145],"dataset":[79],"require":[81],"participating":[82],"devices":[83,119,225],"share":[85,121],"raw":[86],"which":[88,116,261],"incurs":[89],"additional":[90],"costs":[92],"privacy":[94],"concerns.":[95],"In":[96],"this":[97],"paper,":[98],"we":[99,147,181,203,214,254],"propose":[100,204],"<italic":[101,285],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[102,286],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">SlaugFL</i>":[103,287],",":[104],"novel":[106],"selective":[107],"GAN-based":[108],"augmentation":[110],"scheme":[111],"for":[112,130],"communication-efficient":[113],"FL,":[115],"selects":[117],"representative":[118],"specific":[122],"class":[124,186,259],"prototypes":[125,187,260],"with":[126,138,153,219,245],"GAN":[131,191,222,229],"improves":[135,276],"trained":[140,221,228],"GAN.":[141],"Specifically,":[142],"on":[143],"side,":[146,202],"generate":[148,232],"diverse":[149],"labeled":[150,196],"candidate":[151,197],"help":[155],"powerful":[157],"generative":[158],"(the":[160],"stable":[161],"diffusion":[162],"ChatGPT).":[165],"To":[166],"ensure":[167],"GAN-generated":[170],"possesses":[172],"similar":[174],"domain":[175],"devices'":[178,216,268,277],"leverage":[182],"selected":[184],"pick":[189],"desired":[190],"samples":[193],"On":[199],"device":[201],"dual-calibration":[206],"approach":[207],"consisting":[208],"two":[210,273],"calibration":[211],"manners.":[212],"Concretely,":[213],"augment":[215],"model,":[223],"where":[224],"utilize":[226],"IID":[234,252],"dataset.":[235],"Thus,":[236],"device's":[238],"can":[241,262,288],"be":[242,263],"directly":[243],"calibrated":[244],"augmented":[247],"With":[249],"generated":[251],"yield":[255],"privacy-free":[256],"(p-f)":[257],"employed":[264],"further":[266],"calibrate":[267],"models.":[270,279],"Combining":[271],"calibrations":[274],"effectively":[275],"Extensive":[280],"experimental":[281],"results":[282],"show":[283],"significantly":[289],"reduce":[290],"(up":[294],"52.49%)":[296],"while":[297],"achieving":[298],"same":[300],"accuracy,":[301],"compared":[302],"state-of-the-art":[305],"work.":[306]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}