{"id":"https://openalex.org/W4402351941","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651323","title":"Hierarchical Federated Learning in MEC Networks with Knowledge Distillation","display_name":"Hierarchical Federated Learning in MEC Networks with Knowledge Distillation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351941","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651323"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://hdl.handle.net/10072/433070","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104219047","display_name":"Tuan Dung Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tuan Dung Nguyen","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Information and Communication Technology,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Information and Communication Technology,Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111358481","display_name":"Ngoc Anh Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Ngoc Anh Tong","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Information and Communication Technology,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Information and Communication Technology,Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091142923","display_name":"Binh P. Nguyen","orcid":"https://orcid.org/0000-0001-6203-6664"},"institutions":[{"id":"https://openalex.org/I1302741095","display_name":"Statistics New Zealand","ror":"https://ror.org/055qjgz33","country_code":"NZ","type":"government","lineage":["https://openalex.org/I1302741095","https://openalex.org/I2802073567"]},{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Binh P. Nguyen","raw_affiliation_strings":["Victoria University of Wellington,School of Mathematics and Statistics,New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington,School of Mathematics and Statistics,New Zealand","institution_ids":["https://openalex.org/I1302741095","https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101748543","display_name":"Quoc Viet Hung Nguyen","orcid":"https://orcid.org/0000-0003-2248-7107"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Quoc Viet Hung Nguyen","raw_affiliation_strings":["Griffith University,School of Information and Communication Technology,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith University,School of Information and Communication Technology,Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058485829","display_name":"Phi Le Nguyen","orcid":"https://orcid.org/0000-0001-6547-7641"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Phi Le Nguyen","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Information and Communication Technology,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Information and Communication Technology,Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025137507","display_name":"Thanh Trung Huynh","orcid":"https://orcid.org/0000-0003-2027-5362"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Thanh Trung Huynh","raw_affiliation_strings":["Swiss Federal Institute of Technology Lausanne (EPFL),Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swiss Federal Institute of Technology Lausanne (EPFL),Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9991000294685364,"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/T10237","display_name":"Cryptography and Data Security","score":0.9968000054359436,"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":0.7351459264755249},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6722436547279358},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37876760959625244},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3208564519882202},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06674546003341675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7351459264755249},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6722436547279358},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37876760959625244},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3208564519882202},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06674546003341675},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/433070","is_oa":true,"landing_page_url":"https://hdl.handle.net/10072/433070","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/433070","is_oa":true,"landing_page_url":"https://hdl.handle.net/10072/433070","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316108","display_name":"NAV","ror":"https://ror.org/00qghd717"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1994616650","https://openalex.org/W2604738573","https://openalex.org/W2798720628","https://openalex.org/W2807006176","https://openalex.org/W2899771611","https://openalex.org/W3105122387","https://openalex.org/W3118608800","https://openalex.org/W3171587005","https://openalex.org/W3182158470","https://openalex.org/W4205429547","https://openalex.org/W4320067912","https://openalex.org/W4360838558","https://openalex.org/W4381785874","https://openalex.org/W4382119217","https://openalex.org/W4383749310","https://openalex.org/W4385232623","https://openalex.org/W4385486478","https://openalex.org/W4386322339","https://openalex.org/W4387883668","https://openalex.org/W4390576704","https://openalex.org/W4391216724","https://openalex.org/W6638523607","https://openalex.org/W6728757088","https://openalex.org/W6756040250","https://openalex.org/W6759238902","https://openalex.org/W6763048141","https://openalex.org/W6787972765","https://openalex.org/W6790034021"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Modern":[0],"automobiles":[1],"are":[2],"equipped":[3],"with":[4,87],"advanced":[5],"computing":[6,13],"capabilities,":[7],"allowing":[8,56],"them":[9],"to":[10,59,68,117,130,150,166,174,180,221,259],"become":[11],"powerful":[12],"units":[14],"capable":[15],"of":[16,21,92,108,157,209,219],"processing":[17],"a":[18,34,47,88,119,142,154,186,190],"large":[19,35],"amount":[20],"data":[22],"and":[23,97,110,183,206,238],"training":[24,177,192,225],"machine":[25,29,49,62],"learning":[26,30,50,63],"models.":[27],"However,":[28,135],"algorithms":[31],"typically":[32],"require":[33],"centralized":[36],"dataset,":[37],"raising":[38],"concerns":[39],"about":[40],"users\u2019":[41],"privacy.":[42],"Federated":[43,79],"Learning":[44,80],"(FL)":[45],"is":[46],"distributed":[48],"paradigm":[51,138],"that":[52,243,250],"tackles":[53],"this":[54,136],"problem,":[55],"intelligent":[57],"vehicles":[58],"collaboratively":[60],"train":[61],"models":[64,212,230],"locally":[65],"without":[66],"having":[67,153],"compromise":[69],"their":[70],"private":[71],"data.":[72],"Multiple":[73],"works":[74],"have":[75],"concentrated":[76],"on":[77,81,195],"applying":[78],"Mobile":[82],"Edge":[83],"Computing":[84],"(MEC)":[85],"networks":[86],"3-tier":[89,137],"architecture":[90],"consisting":[91],"mobile":[93],"clients,":[94,109],"edge":[95,102,115,215],"servers,":[96,99],"cloud":[98,112,133],"where":[100],"the":[101,111,126,131,175,196,203,214,223,228,235,245,251],"server":[103,113],"aggregates":[104,114],"its":[105],"local":[106,176,191,224,229],"set":[107,156],"servers":[116,216],"learn":[118],"global":[120,204,236],"model.":[121],"This":[122,170],"approach":[123],"helps":[124,254],"reduce":[125],"expensive":[127],"communication":[128],"costs":[129],"far-away":[132],"server.":[134],"faces":[139],"several":[140],"challenges,":[141],"notable":[143],"one":[144],"being":[145],"clients\u2019":[146],"constant":[147],"mobility,":[148],"leading":[149,179],"regional":[151,211],"edges":[152],"fluctuating":[155],"participating":[158],"clients":[159,242],"at":[160],"each":[161],"round,":[162],"which":[163],"we":[164,188,201],"refer":[165],"as":[167,217],"distribution":[168],"drift.":[169],"phenomenon":[171],"introduces":[172],"instability":[173],"process,":[178,226],"suboptimal":[181],"accuracy":[182],"convergence.":[184],"As":[185],"solution,":[187],"propose":[189],"process":[193],"based":[194],"knowledge":[197,220,237],"distillation":[198],"mechanism.":[199],"Specifically,":[200],"employ":[202],"model":[205],"an":[207],"ensemble":[208],"historical":[210],"from":[213,231,234,241],"sources":[218],"guide":[222],"preventing":[227],"drifting":[232],"away":[233],"preserving":[239],"information":[240],"left":[244],"region.":[246],"Experimental":[247],"results":[248],"showed":[249],"proposed":[252],"method":[253],"achieve":[255],"better":[256],"performance":[257],"compared":[258],"other":[260],"baselines.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}