{"id":"https://openalex.org/W7128429696","doi":"https://doi.org/10.1109/jiot.2026.3662612","title":"Toward Efficient Wireless Federated Learning via Decoupling Over-the-Air Model Aggregation and Client Selection","display_name":"Toward Efficient Wireless Federated Learning via Decoupling Over-the-Air Model Aggregation and Client Selection","publication_year":2026,"publication_date":"2026-02-09","ids":{"openalex":"https://openalex.org/W7128429696","doi":"https://doi.org/10.1109/jiot.2026.3662612"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3662612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3662612","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/A5006558769","display_name":"Saqr Khalil Saeed Thabet","orcid":"https://orcid.org/0000-0001-7267-7123"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Saqr Thabet","raw_affiliation_strings":["School of Computing, Faculty of Science and Engineering, Macquarie University, Macquarie Park, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7267-7123","affiliations":[{"raw_affiliation_string":"School of Computing, Faculty of Science and Engineering, Macquarie University, Macquarie Park, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125441270","display_name":"Yipeng Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yipeng Zhou","raw_affiliation_strings":["School of Computing, Faculty of Science and Engineering, Macquarie University, Macquarie Park, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1533-0865","affiliations":[{"raw_affiliation_string":"School of Computing, Faculty of Science and Engineering, Macquarie University, Macquarie Park, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018491626","display_name":"Behnaz Soltani","orcid":"https://orcid.org/0009-0003-8816-0526"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Behnaz Soltani","raw_affiliation_strings":["School of Computing, Faculty of Science and Engineering, Macquarie University, Macquarie Park, NSW, Australia"],"raw_orcid":"https://orcid.org/0009-0003-8816-0526","affiliations":[{"raw_affiliation_string":"School of Computing, Faculty of Science and Engineering, Macquarie University, Macquarie Park, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125449709","display_name":"Quan Z. Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Quan Z. Sheng","raw_affiliation_strings":["School of Computing, Faculty of Science and Engineering, Macquarie University, Macquarie Park, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3326-4147","affiliations":[{"raw_affiliation_string":"School of Computing, Faculty of Science and Engineering, Macquarie University, Macquarie Park, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004608350","display_name":"Shiting Wen","orcid":"https://orcid.org/0000-0002-2055-2553"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiting Wen","raw_affiliation_strings":["School of Computer and Data Engineering, NingboTech University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-2055-2553","affiliations":[{"raw_affiliation_string":"School of Computer and Data Engineering, NingboTech University, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"last","author":{"id":null,"display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-9433-7725"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9433-7725","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":0.13774056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"9","first_page":"19383","last_page":"19396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.7627999782562256,"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":0.7627999782562256,"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":0.03880000114440918,"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":0.019999999552965164,"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/upload","display_name":"Upload","score":0.75},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.5501000285148621},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5339999794960022},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5130000114440918},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.49810001254081726},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4259999990463257},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42489999532699585},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.39820000529289246},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.37529999017715454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8876000046730042},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.75},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.5501000285148621},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5339999794960022},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.52920001745224},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5130000114440918},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.49810001254081726},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4851999878883362},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4259999990463257},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.39820000529289246},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.362199991941452},{"id":"https://openalex.org/C202477664","wikidata":"https://www.wikidata.org/wiki/Q1352449","display_name":"Client-side","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.3483000099658966},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.33970001339912415},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C152880691","wikidata":"https://www.wikidata.org/wiki/Q146813","display_name":"Client\u2013server model","level":3,"score":0.29490000009536743},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C14414571","wikidata":"https://www.wikidata.org/wiki/Q519081","display_name":"Server-side","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3662612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3662612","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9098718166351318,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Federated":[0],"learning":[1,6],"(FL)":[2],"is":[3,39],"revolutionizing":[4],"machine":[5],"by":[7],"enabling":[8],"multiple":[9],"decentralized":[10],"clients":[11,125,139,152],"to":[12,42,137],"collaboratively":[13],"train":[14],"a":[15,27],"shared":[16],"model.":[17],"In":[18],"mobile":[19],"scenarios,":[20],"client":[21,76,81,107,173],"devices":[22],"exchange":[23],"model":[24,112,154],"parameters":[25,129,156],"with":[26,98,115,157,171],"central":[28],"server":[29,136],"via":[30],"wireless":[31,36],"channels.":[32],"However,":[33,66],"designing":[34],"efficient":[35],"FL":[37],"(WFL)":[38],"challenging":[40],"due":[41],"limited":[43],"energy":[44,182],"and":[45,83,109,140,146,175],"channel":[46],"capacity.":[47],"To":[48,90],"fully":[49],"utilize":[50],"communication":[51],"resources,":[52],"over-the-air":[53,162],"(OTA)":[54],"computation":[55,163,170],"has":[56],"been":[57],"introduced,":[58],"allowing":[59,134],"direct":[60],"aggregation":[61],"of":[62,119,184],"analog":[63],"parameter":[64],"signals.":[65],"it":[67],"conceals":[68],"clients\u2019":[69],"information":[70],"from":[71],"the":[72,96,110,135,142,150,165,181],"server,":[73],"making":[74],"advanced":[75,106],"selection":[77,108,174],"strategies,":[78],"e.g.,":[79],"cluster-based":[80,172],"selection,":[82],"sparsification":[84,113],"compression":[85],"algorithms":[86],"like":[87],"TopK":[88,111,176],"inapplicable.":[89],"address":[91],"these":[92],"limitations,":[93],"we":[94],"propose":[95],"WFL":[97],"Voting-based":[99],"Clustering":[100],"(WFL-VC)":[101],"algorithm,":[102],"which":[103],"can":[104],"integrate":[105],"algorithm":[114],"OTA.":[116],"WFL-VC":[117,178,194],"consists":[118],"two":[120],"phases:":[121],"1)":[122],"Phase":[123,148],"1:":[124],"vote":[126],"on":[127,131,189],"significant":[128],"based":[130],"local":[132],"models,":[133],"select":[138],"identify":[141],"global":[143],"Topk":[144],"parameters;":[145],"2)":[147],"2:":[149],"selected":[151],"upload":[153],"update":[155],"globally":[158],"aligned":[159],"indices":[160],"for":[161],"at":[164],"server.":[166],"By":[167],"combining":[168],"OTA":[169],"sparsification,":[177],"substantially":[179],"reduces":[180],"consumption":[183],"OTA-based":[185],"WFL.":[186],"Extensive":[187],"experiments":[188],"real-world":[190],"datasets":[191],"show":[192],"that":[193],"outperforms":[195],"competitive":[196],"baselines":[197],"while":[198],"consuming":[199],"considerably":[200],"less":[201],"energy.":[202]},"counts_by_year":[],"updated_date":"2026-04-25T06:01:18.069262","created_date":"2026-02-10T00:00:00"}