{"id":"https://openalex.org/W4360605329","doi":"https://doi.org/10.1109/icaiic57133.2023.10067061","title":"Federated Learning of Wireless Network Experience Anomalies Using Consumer Sentiment","display_name":"Federated Learning of Wireless Network Experience Anomalies Using Consumer Sentiment","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4360605329","doi":"https://doi.org/10.1109/icaiic57133.2023.10067061"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic57133.2023.10067061","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic57133.2023.10067061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dspace.lib.cranfield.ac.uk/handle/1826/19369","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062362866","display_name":"Weisi Guo","orcid":"https://orcid.org/0000-0003-3524-3953"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Weisi Guo","raw_affiliation_strings":["Centre for Auto. Cyberphysical Sys., Cranfield University,Bedford,UK","Centre for Auto. Cyberphysical Sys., Cranfield University, Bedford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Auto. Cyberphysical Sys., Cranfield University,Bedford,UK","institution_ids":["https://openalex.org/I82284825"]},{"raw_affiliation_string":"Centre for Auto. Cyberphysical Sys., Cranfield University, Bedford, UK","institution_ids":["https://openalex.org/I82284825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041123450","display_name":"Bailu Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bailu Jin","raw_affiliation_strings":["Centre for Auto. Cyberphysical Sys., Cranfield University,Bedford,UK","Centre for Auto. Cyberphysical Sys., Cranfield University, Bedford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Auto. Cyberphysical Sys., Cranfield University,Bedford,UK","institution_ids":["https://openalex.org/I82284825"]},{"raw_affiliation_string":"Centre for Auto. Cyberphysical Sys., Cranfield University, Bedford, UK","institution_ids":["https://openalex.org/I82284825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036534869","display_name":"Schyler C. Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Schyler C. Sun","raw_affiliation_strings":["Centre for Auto. Cyberphysical Sys., Cranfield University,Bedford,UK","Centre for Auto. Cyberphysical Sys., Cranfield University, Bedford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Auto. Cyberphysical Sys., Cranfield University,Bedford,UK","institution_ids":["https://openalex.org/I82284825"]},{"raw_affiliation_string":"Centre for Auto. Cyberphysical Sys., Cranfield University, Bedford, UK","institution_ids":["https://openalex.org/I82284825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024861962","display_name":"Yue Wu","orcid":"https://orcid.org/0000-0002-7454-0451"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wu","raw_affiliation_strings":["East China University of Science & Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China University of Science & Technology,Shanghai,China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038201898","display_name":"Weijie Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105962","display_name":"Recombinant Antibody Technology (United Kingdom)","ror":"https://ror.org/01tmhf693","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210105962"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Weijie Qi","raw_affiliation_strings":["Ranplan Cambridge,UK","Ranplan Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ranplan Cambridge,UK","institution_ids":["https://openalex.org/I4210105962"]},{"raw_affiliation_string":"Ranplan Cambridge, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436702","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-1326-8941"},"institutions":[{"id":"https://openalex.org/I4210105962","display_name":"Recombinant Antibody Technology (United Kingdom)","ror":"https://ror.org/01tmhf693","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210105962"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Ranplan Cambridge,UK","Ranplan Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ranplan Cambridge,UK","institution_ids":["https://openalex.org/I4210105962"]},{"raw_affiliation_string":"Ranplan Cambridge, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1637,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72521246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"499","last_page":"504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9919000267982483,"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/computer-science","display_name":"Computer science","score":0.7436762452125549},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.7016006708145142},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6762537956237793},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5831706523895264},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5597535371780396},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5362052321434021},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5353105068206787},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5184426307678223},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4968743622303009},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.47964292764663696},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4771530032157898},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4643189609050751},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44469666481018066},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4401000440120697},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41624200344085693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28545230627059937},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2842804193496704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2699436545372009},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25807321071624756},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2531970143318176},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.14159134030342102}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7436762452125549},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.7016006708145142},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6762537956237793},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5831706523895264},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5597535371780396},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5362052321434021},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5353105068206787},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5184426307678223},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4968743622303009},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.47964292764663696},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4771530032157898},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4643189609050751},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44469666481018066},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4401000440120697},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41624200344085693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28545230627059937},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2842804193496704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2699436545372009},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25807321071624756},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2531970143318176},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.14159134030342102},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icaiic57133.2023.10067061","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic57133.2023.10067061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.lib.cranfield.ac.uk:1826/19369","is_oa":true,"landing_page_url":"https://dspace.lib.cranfield.ac.uk/handle/1826/19369","pdf_url":null,"source":{"id":"https://openalex.org/S4306401778","display_name":"CERES (Cranfield University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82284825","host_organization_name":"Cranfield University","host_organization_lineage":["https://openalex.org/I82284825"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:dspace.lib.cranfield.ac.uk:1826/19369","is_oa":true,"landing_page_url":"https://dspace.lib.cranfield.ac.uk/handle/1826/19369","pdf_url":null,"source":{"id":"https://openalex.org/S4306401778","display_name":"CERES (Cranfield University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82284825","host_organization_name":"Cranfield University","host_organization_lineage":["https://openalex.org/I82284825"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2059145255","https://openalex.org/W2419439193","https://openalex.org/W2598207902","https://openalex.org/W2786267588","https://openalex.org/W2955213239","https://openalex.org/W2966606748","https://openalex.org/W2967458960","https://openalex.org/W2984423971","https://openalex.org/W2991779680","https://openalex.org/W3007943882","https://openalex.org/W3018279943","https://openalex.org/W3018642885","https://openalex.org/W3100506742","https://openalex.org/W3155912831","https://openalex.org/W3159080474","https://openalex.org/W4200372231","https://openalex.org/W4294691316","https://openalex.org/W6765541894","https://openalex.org/W6843488151"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W2801635251"],"abstract_inverted_index":{"In":[0,50],"wireless":[1],"networks,":[2],"consumer":[3,66],"experience":[4,40,67,109,120,144],"is":[5,41,98],"important":[6],"for":[7,185],"both":[8],"short":[9],"monitoring":[10],"of":[11,14,143,212],"the":[12,83,107,140,192,210],"Quality":[13],"Experience":[15],"(QoE)":[16],"as":[17,19,75],"well":[18],"long":[20],"term":[21],"customer":[22,46],"retainment.":[23],"Current":[24],"4G":[25],"and":[26,39,48,68,116,175,191,217],"5G":[27],"networks":[28],"are":[29],"not":[30],"equipped":[31],"to":[32,60,71,88,93,129,151,159,162,195,202],"measure":[33],"QoE":[34,97,205],"in":[35,96,103,119,169],"an":[36],"automated":[37],"way,":[38],"still":[42],"reported":[43],"through":[44],"traditional":[45],"care":[47],"drive-testing.":[49],"recent":[51],"years,":[52],"large-scale":[53],"social":[54,76,108,181],"media":[55,182],"analytics":[56],"has":[57],"enabled":[58],"researchers":[59],"gather":[61],"statistically":[62],"significant":[63,79],"data":[64,110,127,183,215,223],"on":[65],"correlate":[69],"them":[70],"major":[72],"events":[73],"such":[74],"celebrations":[77],"or":[78,166],"network":[80,164],"outages.":[81],"However,":[82],"translational":[84],"pathway":[85],"from":[86,126],"languages":[87],"topic-specific":[89],"emotions":[90],"(e.g.,":[91,125],"sentiment)":[92],"detecting":[94],"anomalies":[95,118],"challenging.":[99],"This":[100,154],"challenge":[101],"lies":[102],"two":[104,136],"issues:":[105],"(1)":[106],"remains":[111],"sparsely":[112],"distributed":[113,176],"across":[114,122,145,189],"space,":[115],"(2)":[117],"jump":[121],"sub-topic":[123],"spaces":[124],"rate":[128],"signal":[130],"strength).":[131],"Here,":[132],"we":[133],"solved":[134],"these":[135],"challenges":[137],"by":[138],"examining":[139],"spectral":[141],"space":[142],"topics":[146],"using":[147,172],"federated":[148],"learning":[149],"(FL)":[150],"identify":[152],"anomalies.":[153],"can":[155],"inform":[156],"telecom":[157],"operators":[158],"pay":[160],"attention":[161],"potential":[163],"demand":[165],"supply":[167],"issues":[168],"real":[170,180],"time":[171],"relatively":[173],"sparse":[174],"data.":[177],"We":[178],"use":[179],"curated":[184],"our":[186,197],"telecommunication":[187],"projects":[188],"London":[190],"United":[193],"Kingdom":[194],"demonstrate":[196],"results.":[198],"FL":[199],"was":[200],"able":[201],"achieve":[203],"74\u201392%":[204],"anomaly":[206],"detection":[207],"accuracy,":[208],"with":[209],"benefit":[211],"30\u201345%":[213],"reduce":[214],"transfer":[216],"preserving":[218],"privacy":[219],"better":[220],"than":[221],"raw":[222],"transfer.":[224]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}