{"id":"https://openalex.org/W4399525972","doi":"https://doi.org/10.1109/tfuzz.2024.3412971","title":"End-Edge Collaborative Inference of Convolutional Fuzzy Neural Networks for Big Data-Driven Internet of Things","display_name":"End-Edge Collaborative Inference of Convolutional Fuzzy Neural Networks for Big Data-Driven Internet of Things","publication_year":2024,"publication_date":"2024-06-11","ids":{"openalex":"https://openalex.org/W4399525972","doi":"https://doi.org/10.1109/tfuzz.2024.3412971"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2024.3412971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3412971","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","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/A5101358688","display_name":"Yuhao Hu","orcid":"https://orcid.org/0009-0005-5679-8917"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Hu","raw_affiliation_strings":["School of Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0005-5679-8917","affiliations":[{"raw_affiliation_string":"School of Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007818509","display_name":"Xiaolong Xu","orcid":"https://orcid.org/0000-0003-4879-9803"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Xu","raw_affiliation_strings":["School of Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4879-9803","affiliations":[{"raw_affiliation_string":"School of Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019931070","display_name":"Li Duan","orcid":"https://orcid.org/0000-0002-1825-7416"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Duan","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1825-7416","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043302955","display_name":"Muhammad Bilal","orcid":"https://orcid.org/0000-0003-4221-0877"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Muhammad Bilal","raw_affiliation_strings":["School of Computing and Communications, Lancaster University, Lancaster, U.K","School of Computing and Communications, Lancaster University, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-4221-0877","affiliations":[{"raw_affiliation_string":"School of Computing and Communications, Lancaster University, Lancaster, U.K","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"School of Computing and Communications, Lancaster University, United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057840900","display_name":"Qingyang Wang","orcid":"https://orcid.org/0000-0002-6205-1992"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyang Wang","raw_affiliation_strings":["School of Reading, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Reading, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038791483","display_name":"Wanchun Dou","orcid":"https://orcid.org/0000-0003-4833-2023"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanchun Dou","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4833-2023","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9941,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94125986,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"33","issue":"1","first_page":"203","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8256000280380249,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8256000280380249,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.7814000248908997,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.7044000029563904,"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":0.7593694925308228},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6781389713287354},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5673388242721558},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.567196249961853},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5510327816009521},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.5396523475646973},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5326962471008301},{"id":"https://openalex.org/keywords/fuzzy-inference","display_name":"Fuzzy inference","score":0.5169393420219421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5065385103225708},{"id":"https://openalex.org/keywords/fuzzy-inference-system","display_name":"Fuzzy inference system","score":0.4886942207813263},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4450574815273285},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4307311773300171},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.42630505561828613},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3794286847114563},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.36456942558288574},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35861536860466003},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2876478433609009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7593694925308228},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6781389713287354},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5673388242721558},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.567196249961853},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5510327816009521},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.5396523475646973},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5326962471008301},{"id":"https://openalex.org/C2986395286","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference","level":5,"score":0.5169393420219421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5065385103225708},{"id":"https://openalex.org/C2987376176","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference system","level":5,"score":0.4886942207813263},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4450574815273285},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4307311773300171},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.42630505561828613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3794286847114563},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.36456942558288574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35861536860466003},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2876478433609009}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tfuzz.2024.3412971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3412971","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"},{"id":"pmh:oai:eprints.lancs.ac.uk:223200","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2806813423","https://openalex.org/W2920031528","https://openalex.org/W2921018545","https://openalex.org/W2954039338","https://openalex.org/W2976382054","https://openalex.org/W2979310190","https://openalex.org/W2997558642","https://openalex.org/W2998921498","https://openalex.org/W2999296562","https://openalex.org/W2999325181","https://openalex.org/W3003685271","https://openalex.org/W3005620403","https://openalex.org/W3015921997","https://openalex.org/W3047565185","https://openalex.org/W3097472721","https://openalex.org/W3110777925","https://openalex.org/W3127099068","https://openalex.org/W3154666549","https://openalex.org/W3168905915","https://openalex.org/W3193859704","https://openalex.org/W3200886011","https://openalex.org/W3203864086","https://openalex.org/W3207446465","https://openalex.org/W3214374352","https://openalex.org/W4221146321","https://openalex.org/W4285064947","https://openalex.org/W4285261368","https://openalex.org/W4285821412","https://openalex.org/W4313398126","https://openalex.org/W4317795032","https://openalex.org/W4372342080","https://openalex.org/W4380303559","https://openalex.org/W6695314431","https://openalex.org/W6743688258"],"related_works":["https://openalex.org/W2181415496","https://openalex.org/W3199050383","https://openalex.org/W4322732584","https://openalex.org/W2477660228","https://openalex.org/W2922721683","https://openalex.org/W2943069943","https://openalex.org/W2382941854","https://openalex.org/W2889574165","https://openalex.org/W2219483656","https://openalex.org/W2735794055"],"abstract_inverted_index":{"Deep":[0],"neural":[1,36],"networks":[2],"(DNN)":[3],"has":[4],"been":[5],"widely":[6],"applied":[7],"in":[8,111],"big":[9,128],"data-driven":[10,129],"Internet":[11],"of":[12,23,28,46,59,72,80,88,105,125,143,179,208],"Things":[13],"(IoT)":[14],"for":[15,43,127],"excellent":[16],"learning":[17],"ability,":[18],"while":[19],"the":[20,44,70,78,85,103,177,190,196,206],"black-box":[21],"nature":[22],"DNN":[24],"leads":[25],"to":[26,93,98,183,195],"uncertainty":[27],"inference":[29,68,123,181],"results.":[30],"With":[31],"higher":[32],"interpretability,":[33],"convolutional":[34],"fuzzy":[35,89,144],"network":[37],"(CFNN)":[38],"becomes":[39],"an":[40,120],"alternative":[41],"choice":[42],"model":[45],"IoT":[47,49,60,174],"applications.":[48],"applications":[50],"are":[51,149,161],"often":[52,109],"latency-sensitive.":[53],"By":[54],"jointly":[55],"utilizing":[56],"computing":[57,74,154],"power":[58],"devices":[61],"and":[62,76,140,157],"edge":[63,165,186],"servers,":[64],"end-edge":[65,121],"collaborative":[66,122],"CFNN":[67,82,99,138,158,180,192],"improves":[69],"insufficiency":[71],"local":[73],"resources":[75],"reduces":[77],"latency":[79],"computing-intensive":[81],"inference.":[83,116],"However,":[84],"calculation":[86,146],"amount":[87,147],"layers":[90],"is":[91,108,133,210],"hard":[92],"get":[94],"directly,":[95],"bringing":[96],"difficulty":[97],"partition.":[100],"In":[101,117],"addition,":[102],"profit":[104],"service":[106,182],"providers":[107],"ignored":[110],"existing":[112],"work":[113],"on":[114,163,168],"distributed":[115],"this":[118],"article,":[119],"framework":[124],"CFNNs":[126],"IoT,":[130],"named":[131],"DisCFNN,":[132],"proposed.":[134],"Specifically,":[135],"a":[136,141,184],"novel":[137],"structure":[139],"method":[142],"layer":[145],"assessment":[148],"designed":[150],"at":[151],"first.":[152],"Next,":[153],"resource":[155],"allocation":[156],"partition":[159],"decisions":[160],"generated":[162],"each":[164,173],"server":[166,187],"based":[167],"deep":[169],"reinforcement":[170],"learning.":[171],"Then,":[172],"device":[175],"sends":[176],"request":[178],"certain":[185],"or":[188],"infer":[189],"whole":[191],"locally":[193],"according":[194],"task":[197],"offloading":[198],"strategy":[199],"obtained":[200],"through":[201,212],"many-to-one":[202],"matching":[203],"game.":[204],"Finally,":[205],"effectiveness":[207],"DisCFNN":[209],"evaluated":[211],"extensive":[213],"experiments.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":7}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}