{"id":"https://openalex.org/W4416203271","doi":"https://doi.org/10.1109/tce.2025.3587176","title":"QoS-Enabled Wireless Split Federated Learning: A Reinforcement Learning and Optimization Approach","display_name":"QoS-Enabled Wireless Split Federated Learning: A Reinforcement Learning and Optimization Approach","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4416203271","doi":"https://doi.org/10.1109/tce.2025.3587176"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3587176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3587176","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5015854563","display_name":"Latif U. Khan","orcid":"https://orcid.org/0000-0002-7678-6949"},"institutions":[{"id":"https://openalex.org/I117222138","display_name":"Abu Dhabi University","ror":"https://ror.org/01r3kjq03","country_code":"AE","type":"education","lineage":["https://openalex.org/I117222138"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Latif U. Khan","raw_affiliation_strings":["Department of Computer Science and Information Technology, Abu Dhabi University, Abu Dhabi, UAE"],"raw_orcid":"https://orcid.org/0000-0002-7678-6949","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, Abu Dhabi University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I117222138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048790034","display_name":"Maher Guizani","orcid":"https://orcid.org/0009-0007-3437-7606"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maher Guizani","raw_affiliation_strings":["Computer Science and Engineering Department, University of Texas at Arlington, Arlington, TX, USA"],"raw_orcid":"https://orcid.org/0009-0007-3437-7606","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University of Texas at Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004034156","display_name":"Sami Muhaidat","orcid":"https://orcid.org/0000-0003-4649-9399"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Sami Muhaidat","raw_affiliation_strings":["6G Research Center, Khalifa University, Abu Dhabi, UAE"],"raw_orcid":"https://orcid.org/0000-0003-4649-9399","affiliations":[{"raw_affiliation_string":"6G Research Center, Khalifa University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050702557","display_name":"Moussa Ayyash","orcid":"https://orcid.org/0000-0003-0868-143X"},"institutions":[{"id":"https://openalex.org/I74234424","display_name":"Chicago State University","ror":"https://ror.org/05ekwbr88","country_code":"US","type":"education","lineage":["https://openalex.org/I74234424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moussa Ayyash","raw_affiliation_strings":["Department of CIMST, Chicago State University, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0003-0868-143X","affiliations":[{"raw_affiliation_string":"Department of CIMST, Chicago State University, Chicago, IL, USA","institution_ids":["https://openalex.org/I74234424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2548,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86350971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"71","issue":"3","first_page":"8968","last_page":"8978"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8302000164985657,"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":0.8302000164985657,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.054999999701976776,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.01860000006854534,"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/cloud-computing","display_name":"Cloud computing","score":0.6305999755859375},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5460000038146973},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5372999906539917},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5325999855995178},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.49070000648498535},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.47589999437332153},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.47450000047683716},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.46389999985694885},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.447299987077713},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.43779999017715454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8277999758720398},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6371999979019165},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6305999755859375},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5460000038146973},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5372999906539917},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5325999855995178},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.49070000648498535},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.47589999437332153},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.47450000047683716},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.46389999985694885},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.447299987077713},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.43130001425743103},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.375},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3725000023841858},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C173404611","wikidata":"https://www.wikidata.org/wiki/Q528588","display_name":"Constraint programming","level":3,"score":0.3538999855518341},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3262999951839447},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C85106507","wikidata":"https://www.wikidata.org/wiki/Q1188445","display_name":"Utility computing","level":4,"score":0.2897000014781952},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.28049999475479126},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26489999890327454},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3587176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3587176","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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":24,"referenced_works":["https://openalex.org/W2071095524","https://openalex.org/W2136858951","https://openalex.org/W2968782695","https://openalex.org/W3005761304","https://openalex.org/W3015366655","https://openalex.org/W3018102029","https://openalex.org/W3038366466","https://openalex.org/W3090615085","https://openalex.org/W3092311181","https://openalex.org/W3095323142","https://openalex.org/W3105915864","https://openalex.org/W3123895149","https://openalex.org/W3211848727","https://openalex.org/W4226092049","https://openalex.org/W4250589301","https://openalex.org/W4312323164","https://openalex.org/W4386280917","https://openalex.org/W4386736992","https://openalex.org/W4390570833","https://openalex.org/W4390738539","https://openalex.org/W4392940143","https://openalex.org/W4396712758","https://openalex.org/W4399154593","https://openalex.org/W4406414406"],"related_works":[],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"has":[3,63,69],"various":[4,211],"advantages,":[5],"including":[6],"reduced":[7],"communication":[8],"overhead":[9],"and":[10,106,127,154,164,176,207],"improved":[11],"privacy":[12],"protection":[13],"for":[14,37,146,210],"situations":[15],"involving":[16],"frequent":[17],"data":[18],"production.":[19],"FL":[20,62,98],"involves":[21,151],"training":[22],"local":[23,49,89],"models":[24,90],"on":[25,174],"end":[26],"devices":[27],"before":[28],"transferring":[29],"them":[30],"to":[31,46,87,112,167,188],"the":[32,77,84,96,117,136,190],"cloud":[33],"or":[34],"network":[35,118],"edge":[36],"global":[38],"aggregation.":[39],"End-devices":[40],"can":[41],"use":[42,185],"this":[43,55,94],"aggregated":[44],"model":[45],"enhance":[47],"their":[48],"models.":[50],"Until":[51],"convergence":[52,206],"is":[53,58,158,165],"reached,":[54],"iterative":[56],"procedure":[57],"carried":[59],"out":[60],"repeatedly.":[61],"many":[64],"benefits,":[65],"but":[66],"it":[67,157],"also":[68,108],"several":[70],"drawbacks.":[71],"Constraints":[72],"in":[73,142,202],"computing":[74,129],"resources":[75,130],"are":[76],"most":[78],"notable.":[79],"In":[80],"general,":[81],"end-devices":[82,128],"lack":[83],"computational":[85],"capacity":[86],"learn":[88],"effectively.":[91],"To":[92],"solve":[93],"issue,":[95],"split":[97],"(SFL)":[99],"was":[100],"developed.":[101],"However,":[102],"wireless":[103],"resource":[104,125],"limitations":[105],"uncertainty":[107],"make":[109],"SFL":[110,115],"difficult":[111],"enable.":[113],"For":[114],"at":[116],"edge,":[119],"we":[120,134],"propose":[121],"a":[122,159,171,177],"joint":[123],"task-offloading,":[124],"allocation,":[126],"optimization":[131,175],"problem.":[132],"Moreover,":[133],"consider":[135],"quality":[137],"of":[138,144,204],"service":[139],"(QoS)":[140],"constraint":[141],"terms":[143,203],"latency":[145],"SFL.":[147],"Because":[148],"our":[149],"problem":[150,163],"both":[152],"continuous":[153],"binary":[155],"variables,":[156],"mixed-integer":[160],"non-linear":[161],"programming":[162],"challenging":[166],"solve.":[168],"We":[169,184],"provide":[170],"solution":[172],"based":[173],"double":[178],"deep":[179],"Q-network":[180],"(DDQN)":[181],"with":[182],"dueling.":[183],"comprehensive":[186],"simulations":[187],"validate":[189],"proposed":[191,194],"approach.":[192],"Our":[193],"scheme,":[195],"namely,":[196],"DDQN+dueling,":[197],"outperforms":[198],"traditional":[199],"DDQN-based":[200],"schemes":[201],"faster":[205],"attaining":[208],"QoS":[209],"configurations.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}
