{"id":"https://openalex.org/W4417470004","doi":"https://doi.org/10.1109/jiot.2025.3645735","title":"FlexNS: Flexible Neuron Selection for Multitask Transfer Learning in AIoT","display_name":"FlexNS: Flexible Neuron Selection for Multitask Transfer Learning in AIoT","publication_year":2025,"publication_date":"2025-12-18","ids":{"openalex":"https://openalex.org/W4417470004","doi":"https://doi.org/10.1109/jiot.2025.3645735"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3645735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3645735","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5053574427","display_name":"Tiantong Wu","orcid":"https://orcid.org/0000-0003-0616-2521"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tiantong Wu","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-0616-2521","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089451427","display_name":"H. M. N. Dilum Bandara","orcid":"https://orcid.org/0000-0002-2927-5628"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"H. M. N. Dilum Bandara","raw_affiliation_strings":["Data61, CSIRO, Sydney, NSW, Australia","Data61, CSIRO, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2927-5628","affiliations":[{"raw_affiliation_string":"Data61, CSIRO, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]},{"raw_affiliation_string":"Data61, CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073287852","display_name":"Kanchana Thilakarathna","orcid":"https://orcid.org/0000-0003-4332-0082"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kanchana Thilakarathna","raw_affiliation_strings":["The University of Sydney, Sydney, NSW, Australia","The University of Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4332-0082","affiliations":[{"raw_affiliation_string":"The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064721659","display_name":"Phee Lep Yeoh","orcid":"https://orcid.org/0000-0002-2516-4226"},"institutions":[{"id":"https://openalex.org/I174025329","display_name":"University of the Sunshine Coast","ror":"https://ror.org/016gb9e15","country_code":"AU","type":"education","lineage":["https://openalex.org/I174025329"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Phee Lep Yeoh","raw_affiliation_strings":["University of the Sunshine Coast, Buderim, QLD, Australia","University of the Sunshine Coast, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2516-4226","affiliations":[{"raw_affiliation_string":"University of the Sunshine Coast, Buderim, QLD, Australia","institution_ids":["https://openalex.org/I174025329"]},{"raw_affiliation_string":"University of the Sunshine Coast, Australia","institution_ids":["https://openalex.org/I174025329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068478144","display_name":"Teng Joon Lim","orcid":"https://orcid.org/0000-0002-3356-2240"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Teng Joon Lim","raw_affiliation_strings":["The University of Sydney, Sydney, NSW, Australia","The University of Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3356-2240","affiliations":[{"raw_affiliation_string":"The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35828256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"5","first_page":"9773","last_page":"9781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.36059999465942383,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.36059999465942383,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.33820000290870667,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0357000008225441,"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/inference","display_name":"Inference","score":0.5882999897003174},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5820000171661377},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5544999837875366},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5430999994277954},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.45089998841285706},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.43700000643730164},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4025999903678894},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.37940001487731934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.855400025844574},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5882999897003174},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5820000171661377},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5544999837875366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5440999865531921},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5430999994277954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4799000024795532},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.45089998841285706},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.43700000643730164},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37940001487731934},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.34290000796318054},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.266400009393692},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jiot.2025.3645735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3645735","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/212529","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/212529","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1,11],"of":[2,17,102,108,120],"things":[3],"(AIoT)":[4],"is":[5,28],"an":[6,105],"emerging":[7],"paradigm":[8],"integrating":[9],"artificial":[10],"(AI)":[12],"technologies":[13],"within":[14],"the":[15,109,117,139,167],"Internet":[16],"Things":[18],"(IoT)":[19],"paradigm.":[20],"However,":[21],"deploying":[22],"deep-learning":[23,79],"models":[24,74,119,142,158],"on":[25,173],"IoT":[26,66,91,122,146],"devices":[27,67],"challenging":[29],"due":[30],"to":[31,68,113,116,127,131,138,144,166],"their":[32,70],"inherent":[33],"computational,":[34],"communications,":[35],"and":[36,53,94,134,161,177,183,188],"security":[37],"constraints.":[38],"To":[39],"address":[40],"these":[41],"challenges,":[42],"we":[43],"propose":[44],"Flexible":[45],"Neuron":[46],"Selection":[47],"(<italic":[48],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[49,63,87,155],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">FlexNS</i>),":[50],"a":[51,77,83,100],"computation-":[52],"communication-efficient":[54],"personalised":[55],"multi-task":[56],"transfer":[57,137],"learning":[58],"framework":[59],"for":[60,170],"AIoT.":[61],"<italic":[62,86,154],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">FlexNS</i>":[64,88],"enables":[65],"train":[69],"private":[71,118,141,157],"task-specific":[72],"shallow":[73],"by":[75,82,98],"leveraging":[76],"multi-task,":[78],"model":[80,112,163,169],"pre-trained":[81],"cloud":[84],"server.":[85],"significantly":[89],"reduces":[90],"devices\u2019":[92],"computational":[93],"communications":[95],"resource":[96],"demands":[97],"selecting":[99],"subset":[101],"neurons":[103,125],"in":[104,186],"early":[106],"layer":[107],"server\u2019s":[110],"public":[111,168],"be":[114,128],"connected":[115],"multiple":[121],"devices.":[123],"The":[124],"need":[126],"carefully":[129],"selected":[130],"ensure":[132],"effective":[133],"efficient":[135],"knowledge":[136],"fine-tuned":[140],"tailored":[143],"each":[145],"device\u2019s":[147],"specific":[148],"task.":[149],"Experimental":[150],"results":[151],"show":[152],"that":[153],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">FlexNS</i>-based":[156],"achieve":[159],"104.3%":[160],"98.4%":[162],"accuracy":[164],"compared":[165],"two":[171],"datasets":[172],"network":[174],"intrusion":[175],"detection":[176],"image":[178],"classification":[179],"tasks,":[180],"with":[181],"99.5%":[182],"98.0%":[184],"reduction":[185],"training":[187],"inference":[189],"time.":[190]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-12-18T00:00:00"}
