{"id":"https://openalex.org/W3204295664","doi":"https://doi.org/10.1109/tii.2021.3093715","title":"A Many-Objective Optimization Based Federal Deep Generation Model for Enhancing Data Processing Capability in IoT","display_name":"A Many-Objective Optimization Based Federal Deep Generation Model for Enhancing Data Processing Capability in IoT","publication_year":2021,"publication_date":"2021-07-02","ids":{"openalex":"https://openalex.org/W3204295664","doi":"https://doi.org/10.1109/tii.2021.3093715","mag":"3204295664"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2021.3093715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3093715","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5047225155","display_name":"Xingjuan Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingjuan Cai","raw_affiliation_strings":["School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045990378","display_name":"Y. Lan","orcid":"https://orcid.org/0000-0002-9351-9543"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Lan","raw_affiliation_strings":["School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103022585","display_name":"Zhixia Zhang","orcid":"https://orcid.org/0000-0003-0847-3841"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixia Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091166192","display_name":"Jie Wen","orcid":"https://orcid.org/0000-0002-4959-0692"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wen","raw_affiliation_strings":["School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053085908","display_name":"Zhihua Cui","orcid":"https://orcid.org/0000-0001-7388-3180"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Cui","raw_affiliation_strings":["School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414784","display_name":"Wensheng Zhang","orcid":"https://orcid.org/0000-0002-9120-9736"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Zhang","raw_affiliation_strings":["State Key Laboratory of Intelligent Control and Management of Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Control and Management of Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5047225155"],"corresponding_institution_ids":["https://openalex.org/I46305995"],"apc_list":null,"apc_paid":null,"fwci":3.2175,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.94429226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"19","issue":"1","first_page":"561","last_page":"569"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.8345915079116821},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6539679765701294},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6242684721946716},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5417791604995728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5329533219337463},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5184078216552734},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5083977580070496},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4432017207145691},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4167934060096741},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4136025309562683},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14204812049865723},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14044281840324402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8345915079116821},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6539679765701294},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6242684721946716},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5417791604995728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5329533219337463},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5184078216552734},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5083977580070496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4432017207145691},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4167934060096741},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4136025309562683},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14204812049865723},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14044281840324402}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2021.3093715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3093715","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1383768521","display_name":null,"funder_award_id":"U1636220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1819973176","display_name":null,"funder_award_id":"61806138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G385814367","display_name":null,"funder_award_id":"61976212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5794868662","display_name":null,"funder_award_id":"61772478","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6055824095","display_name":null,"funder_award_id":"61961160707","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":32,"referenced_works":["https://openalex.org/W1956871134","https://openalex.org/W2072661909","https://openalex.org/W2405756170","https://openalex.org/W2616461671","https://openalex.org/W2783781089","https://openalex.org/W2802093118","https://openalex.org/W2808133870","https://openalex.org/W2888790369","https://openalex.org/W2911188335","https://openalex.org/W2921015455","https://openalex.org/W2954070046","https://openalex.org/W2956355137","https://openalex.org/W2963444790","https://openalex.org/W2963540401","https://openalex.org/W2977973695","https://openalex.org/W2981285812","https://openalex.org/W2989289980","https://openalex.org/W2999851651","https://openalex.org/W3000455992","https://openalex.org/W3001669684","https://openalex.org/W3005758045","https://openalex.org/W3027314656","https://openalex.org/W3032592799","https://openalex.org/W3035789953","https://openalex.org/W3036950174","https://openalex.org/W3082737978","https://openalex.org/W3100195331","https://openalex.org/W3101584733","https://openalex.org/W3106379731","https://openalex.org/W3127423483","https://openalex.org/W4320013936","https://openalex.org/W6713645886"],"related_works":["https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0,154],"rapid":[1],"progress":[2],"of":[3,12,71,80,88,126,177,183,189],"artificial":[4],"intelligence":[5],"expands":[6],"its":[7],"wide":[8],"applicability":[9],"in":[10,30,38,41,180],"Internet":[11],"Things":[13],"(IoT).":[14],"Meanwhile,":[15],"data":[16,19,179,191],"insufficient":[17,72,178],"and":[18,95,147,161,168,185],"source":[20],"privacy":[21,108,188],"are":[22],"key":[23],"supply":[24],"chain":[25],"challenges":[26],"facing":[27],"IoT":[28,184],"especially":[29],"the":[31,69,78,86,118,124,127,159,164,187],"healthcare":[32,39],"industry.":[33],"To":[34],"address":[35,68],"this":[36,42],"problem":[37,70],"IoT,":[40],"article,":[43],"we":[44,61,83,104,116],"propose":[45],"a":[46,142,148],"skin":[47,112],"cancer":[48,113],"detection":[49,197],"model":[50,130,172],"based":[51],"on":[52],"federated":[53,111],"learning":[54],"integrated":[55],"with":[56],"deep":[57],"generation":[58],"model.":[59],"First,":[60],"employ":[62,117],"dual":[63],"generative":[64],"adversarial":[65],"networks":[66],"to":[67,76,122],"data.":[73],"In":[74],"addition,":[75],"improve":[77],"quality":[79],"generated":[81],"images,":[82,89],"synchronously":[84],"optimize":[85],"sharpness":[87],"Frechet":[90],"inception":[91],"distance,":[92],"image":[93],"diversity,":[94],"loss":[96],"using":[97,135],"knee":[98],"point-driven":[99],"evolutionary":[100],"algorithm":[101],"(KnEA).":[102],"Then,":[103],"protect":[105,186],"patient":[106],"information":[107],"by":[109],"training":[110,129],"framework.":[114],"Finally,":[115],"ISIC":[119],"2018":[120],"dataset":[121],"test":[123],"performance":[125],"proposed":[128],"under":[131,163],"different":[132],"situations,":[133],"including":[134],"identically":[136],"distributed":[137,140],"data,":[138,141],"nonidentically":[139],"sparse":[143],"convolutional":[144,151],"neural":[145,152],"network,":[146],"fully":[149],"connected":[150],"network.":[153],"experiment":[155],"results":[156],"demonstrate":[157],"that":[158],"accuracy":[160],"area":[162],"curve":[165],"reach":[166],"91%":[167],"88%,":[169],"respectively.":[170],"This":[171],"can":[173],"help":[174],"resolve":[175],"problems":[176],"smart":[181],"medicine":[182],"user":[190],"while":[192],"also":[193],"providing":[194],"an":[195],"excellent":[196],"rate.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}