{"id":"https://openalex.org/W4403407837","doi":"https://doi.org/10.1109/icc51166.2024.10622906","title":"Federated Learning With Selective Knowledge Distillation Over Bandwidth-constrained Wireless Networks","display_name":"Federated Learning With Selective Knowledge Distillation Over Bandwidth-constrained Wireless Networks","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4403407837","doi":"https://doi.org/10.1109/icc51166.2024.10622906"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10622906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10622906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-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/A5074023476","display_name":"Gad Gad","orcid":"https://orcid.org/0000-0001-9177-9950"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Gad Gad","raw_affiliation_strings":["Western University,Department of Computer Science,London,ON,Canada"],"affiliations":[{"raw_affiliation_string":"Western University,Department of Computer Science,London,ON,Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063911030","display_name":"Zubair Md. Fadlullah","orcid":"https://orcid.org/0000-0002-4785-2425"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zubair Md Fadlullah","raw_affiliation_strings":["Western University,Department of Computer Science,London,ON,Canada"],"affiliations":[{"raw_affiliation_string":"Western University,Department of Computer Science,London,ON,Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068882573","display_name":"Mostafa M. Fouda","orcid":"https://orcid.org/0000-0003-1790-8640"},"institutions":[{"id":"https://openalex.org/I106969075","display_name":"Idaho State University","ror":"https://ror.org/0162z8b04","country_code":"US","type":"education","lineage":["https://openalex.org/I106969075"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mostafa M. Fouda","raw_affiliation_strings":["Idaho State University,Department of Electrical and Computer Engineering,Pocatello,ID,USA"],"affiliations":[{"raw_affiliation_string":"Idaho State University,Department of Electrical and Computer Engineering,Pocatello,ID,USA","institution_ids":["https://openalex.org/I106969075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053163516","display_name":"Mohamed I. Ibrahem","orcid":"https://orcid.org/0000-0002-8000-4161"},"institutions":[{"id":"https://openalex.org/I25041050","display_name":"Augusta University","ror":"https://ror.org/012mef835","country_code":"US","type":"education","lineage":["https://openalex.org/I25041050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed I. Ibrahem","raw_affiliation_strings":["School of Computer and Cyber sciences, Augusta University,Augusta,GA,USA,30912"],"affiliations":[{"raw_affiliation_string":"School of Computer and Cyber sciences, Augusta University,Augusta,GA,USA,30912","institution_ids":["https://openalex.org/I25041050"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013311265","display_name":"Nei Kato","orcid":"https://orcid.org/0000-0001-8769-302X"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nei Kato","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University,Sendai,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University,Sendai,Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074023476"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":3.2733,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93113987,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3476","last_page":"3481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.992900013923645,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7178013324737549},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6970670223236084},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.671115517616272},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.581308901309967},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.44077929854393005},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3772977590560913},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2793188989162445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7178013324737549},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6970670223236084},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.671115517616272},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.581308901309967},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.44077929854393005},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3772977590560913},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2793188989162445},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10622906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10622906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W153185079","https://openalex.org/W2774000609","https://openalex.org/W2980216952","https://openalex.org/W3034368386","https://openalex.org/W3123459983","https://openalex.org/W3138154797","https://openalex.org/W3187295906","https://openalex.org/W4200095019","https://openalex.org/W4224227775","https://openalex.org/W4225301669","https://openalex.org/W4283792986","https://openalex.org/W4306874801","https://openalex.org/W4311457546","https://openalex.org/W4313436112","https://openalex.org/W4313591693","https://openalex.org/W4318619660","https://openalex.org/W4320029359","https://openalex.org/W4361988767","https://openalex.org/W4386071675","https://openalex.org/W4386767075","https://openalex.org/W4387870645","https://openalex.org/W4388087488","https://openalex.org/W6728757088","https://openalex.org/W6746839373","https://openalex.org/W6759238902"],"related_works":["https://openalex.org/W3026162553","https://openalex.org/W2768175398","https://openalex.org/W2344382886","https://openalex.org/W19111321","https://openalex.org/W2412887479","https://openalex.org/W32245304","https://openalex.org/W2953684491","https://openalex.org/W4285338581","https://openalex.org/W2015158429","https://openalex.org/W2080290893"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],"applications":[3],"on":[4],"Internet":[5],"of":[6,109,136,148],"Things":[7],"(IoT)":[8],"networks":[9],"often":[10],"involve":[11],"relaying":[12],"generated":[13],"data":[14,41],"to":[15,26,61,95,98,119,132,153,171],"a":[16,33,56,63],"server":[17,57],"for":[18,82],"deep":[19],"learning":[20],"training,":[21],"which":[22,39],"poses":[23],"security":[24],"risks":[25],"users'":[27],"data.":[28],"Federated":[29,125],"Learning":[30,126],"(FL)":[31],"offers":[32],"distributed":[34],"model":[35,76,103,110],"training":[36],"paradigm":[37],"in":[38],"local":[40,75,102],"are":[42,51,115],"kept":[43],"at":[44],"the":[45,134,149,172],"edge":[46,84],"and":[47,53,104,139,141,167,175],"locally":[48],"trained":[49],"models":[50],"exchanged":[52],"aggregated":[54],"by":[55],"over":[58],"several":[59],"rounds":[60],"produce":[62],"global":[64],"model.":[65],"While":[66],"successful,":[67],"standard":[68],"FL":[69,89,94,113,155,177],"algorithms":[70,90,114],"do":[71],"not":[72],"support":[73],"heterogeneous":[74],"design,":[77],"an":[78],"essential":[79],"requirement,":[80],"especially":[81],"resource-limited":[83],"devices.":[85],"Recently,":[86],"Knowledge":[87,129],"Distillation-based":[88],"have":[91],"provided":[92],"model-agnostic":[93],"enable":[96],"clients":[97],"independently":[99],"design":[100],"their":[101],"share":[105],"soft":[106],"labels":[107],"instead":[108],"parameters.":[111],"KD-based":[112,176],"computationally":[116],"expensive":[117],"due":[118],"additional":[120],"distillation":[121],"training.":[122],"We":[123,144],"propose":[124],"with":[127],"Selective":[128],"Distillation":[130],"(FedSKD)":[131],"address":[133],"limitations":[135],"system":[137],"heterogeneity;":[138],"computation":[140,165],"communication":[142,168],"demands.":[143],"evaluate":[145],"different":[146],"aspects":[147],"proposed":[150],"algorithm":[151],"relative":[152,170],"baseline":[154],"algorithms.":[156,178],"Results":[157],"show":[158],"that":[159],"FedSKD":[160],"incurs":[161],"significantly":[162],"less":[163],"per-round":[164],"time":[166],"overhead":[169],"considered":[173],"model-based":[174]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}