{"id":"https://openalex.org/W4407361276","doi":"https://doi.org/10.1109/tce.2025.3541140","title":"TSTFL-CGAN: Fuzzy Logic-Based Two-Stage Training Federated Learning Conditional Generative Adversarial Network Under Non-IID Data","display_name":"TSTFL-CGAN: Fuzzy Logic-Based Two-Stage Training Federated Learning Conditional Generative Adversarial Network Under Non-IID Data","publication_year":2025,"publication_date":"2025-02-11","ids":{"openalex":"https://openalex.org/W4407361276","doi":"https://doi.org/10.1109/tce.2025.3541140"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3541140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3541140","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5024497475","display_name":"Gaopan Hou","orcid":"https://orcid.org/0000-0001-6043-4167"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gaopan Hou","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113236279","display_name":"Yu Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Guan","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068292246","display_name":"Weidong Yang","orcid":"https://orcid.org/0000-0002-2422-9243"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Yang","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062494507","display_name":"Zhiquan Liu","orcid":"https://orcid.org/0000-0002-3934-2177"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiquan Liu","raw_affiliation_strings":["College of Cyber Security, Jinan University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Cyber Security, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102885964","display_name":"Yinbin Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinbin Miao","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043356063","display_name":"Yulong Shen","orcid":"https://orcid.org/0000-0002-8448-705X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong Shen","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012016098","display_name":"Jianfeng Ma","orcid":"https://orcid.org/0000-0003-4251-1143"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Ma","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5024497475"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.2784,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76763956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"71","issue":"2","first_page":"7129","last_page":"7145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9621000289916992,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.6893190741539001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6516746282577515},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6189001202583313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5711626410484314},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5481893420219421},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4587853252887726},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.45079025626182556},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.43950819969177246},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4317966401576996},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36291784048080444},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.26542598009109497}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6893190741539001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6516746282577515},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6189001202583313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5711626410484314},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5481893420219421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4587853252887726},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.45079025626182556},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.43950819969177246},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4317966401576996},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36291784048080444},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26542598009109497},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3541140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3541140","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3816780512","display_name":null,"funder_award_id":"No.62172141","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G645651932","display_name":null,"funder_award_id":"2021YFB3101100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6514607193","display_name":null,"funder_award_id":"No.62202377","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7995815166","display_name":null,"funder_award_id":"2023YFB3107500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2091107730","https://openalex.org/W2156030242","https://openalex.org/W2963092440","https://openalex.org/W3033686777","https://openalex.org/W4200631602","https://openalex.org/W4206342786","https://openalex.org/W4214701208","https://openalex.org/W4225014117","https://openalex.org/W4285242894","https://openalex.org/W4309095237","https://openalex.org/W4312950667","https://openalex.org/W4315629593","https://openalex.org/W4321611807","https://openalex.org/W4361756856","https://openalex.org/W4377235461","https://openalex.org/W4378697336","https://openalex.org/W4385731911","https://openalex.org/W4386264650","https://openalex.org/W4386952188","https://openalex.org/W4387010736","https://openalex.org/W4387268050","https://openalex.org/W4387350481","https://openalex.org/W4387986831","https://openalex.org/W4389428616","https://openalex.org/W4389474177","https://openalex.org/W4389933186","https://openalex.org/W4392901776","https://openalex.org/W4392939651","https://openalex.org/W4399268803","https://openalex.org/W4400019888","https://openalex.org/W4402157567"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W3211393740","https://openalex.org/W3208049411","https://openalex.org/W3022908591","https://openalex.org/W4377980832","https://openalex.org/W4285706568","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785"],"abstract_inverted_index":{"With":[0],"the":[1,32,41,108,117,140,152,155,186],"proliferation":[2],"of":[3,5,39,43,154,168,181,188],"Internet":[4],"Things":[6],"devices,":[7],"federated":[8,27,44,52,72,88],"Generative":[9],"Adversarial":[10],"Networks":[11],"(GAN)":[12],"have":[13],"become":[14],"an":[15,179],"effective":[16],"tool":[17],"for":[18],"handling":[19],"data":[20,73,105,145,173],"deficiencies":[21],"in":[22,26,185],"distributed":[23,36],"architectures.":[24],"However,":[25],"learning":[28],"scenarios,":[29,175],"due":[30],"to":[31,102,111,115,128,135,183],"non-independently":[33],"and":[34,75,95,106,144,150,176],"identically":[35],"(non-IID)":[37],"nature":[38],"data,":[40],"training":[42,54,90,142],"GAN":[45,53,81,89],"faces":[46],"multiple":[47],"challenges.":[48],"Existing":[49],"works":[50],"on":[51,79,120,139],"still":[55],"face":[56],"limitations":[57],"when":[58],"confronted":[59],"with":[60],"highly":[61],"heterogeneous":[62],"data.":[63],"To":[64],"address":[65],"these":[66],"issues,":[67],"this":[68],"paper":[69],"proposes":[70],"a":[71,125],"augmentation":[74],"aggregation":[76,137,169],"scheme":[77],"based":[78,138],"Conditional":[80],"(CGAN),":[82],"named":[83],"TSTFL-CGAN.":[84],"The":[85],"method":[86],"divides":[87],"into":[91],"two":[92],"stages:":[93],"pre-training":[94],"formal":[96],"training.":[97],"It":[98],"uses":[99],"fuzzy":[100],"logic":[101],"handle":[103],"uncertain":[104],"allows":[107],"global":[109,136,156],"server":[110],"flexibly":[112],"allocate":[113],"generators":[114],"supplement":[116],"missing":[118],"samples":[119],"client.":[121],"Additionally,":[122],"we":[123],"introduce":[124],"time":[126],"factor":[127],"dynamically":[129],"adjust":[130],"each":[131],"client\u2019s":[132],"model":[133,141],"contribution":[134],"loss":[143],"volume,":[146],"which":[147],"accelerates":[148],"convergence":[149,164],"enhances":[151],"performance":[153],"model.":[157],"Extensive":[158],"experiments":[159],"show":[160],"that":[161],"TSTFL-CGAN":[162],"achieves":[163],"within":[165],"3":[166],"rounds":[167],"across":[170],"4":[171],"different":[172],"distribution":[174],"it":[177],"demonstrates":[178],"improvement":[180],"10":[182],"30":[184],"evaluation":[187],"generated":[189],"sample":[190],"quality.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}