{"id":"https://openalex.org/W4411550950","doi":"https://doi.org/10.1109/tnse.2025.3582366","title":"Client Association and Resource Allocation for NOMA-Enabled Hierarchical Federated Learning With Non-IID Data","display_name":"Client Association and Resource Allocation for NOMA-Enabled Hierarchical Federated Learning With Non-IID Data","publication_year":2025,"publication_date":"2025-06-23","ids":{"openalex":"https://openalex.org/W4411550950","doi":"https://doi.org/10.1109/tnse.2025.3582366"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2025.3582366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3582366","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","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/A5100428606","display_name":"Tan Li","orcid":"https://orcid.org/0000-0001-6129-4792"},"institutions":[{"id":"https://openalex.org/I47605537","display_name":"Hang Seng University of Hong Kong","ror":"https://ror.org/04fa64g55","country_code":"HK","type":"education","lineage":["https://openalex.org/I47605537"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tan Li","raw_affiliation_strings":["Department of Computer Science, The Hang Seng University of Hong Kong, Hong Kong, SAR","Department of Computer Science, The Hang Seng University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-6129-4792","affiliations":[{"raw_affiliation_string":"Department of Computer Science, The Hang Seng University of Hong Kong, Hong Kong, SAR","institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Computer Science, The Hang Seng University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035185924","display_name":"Linqi Song","orcid":"https://orcid.org/0000-0003-2756-4984"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Linqi Song","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-2756-4984","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3042,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84579793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"162","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T13553","display_name":"Age of Information Optimization","score":0.9708999991416931,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9567000269889832,"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/noma","display_name":"Noma","score":0.8912264108657837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7077727317810059},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.6205610036849976},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5511467456817627},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.47850313782691956},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.45826253294944763},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4569838345050812},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.4312681555747986},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4134260416030884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2373899519443512},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.1517825722694397},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12510502338409424}],"concepts":[{"id":"https://openalex.org/C2775918612","wikidata":"https://www.wikidata.org/wiki/Q994794","display_name":"Noma","level":3,"score":0.8912264108657837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7077727317810059},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.6205610036849976},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5511467456817627},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.47850313782691956},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.45826253294944763},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4569838345050812},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.4312681555747986},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4134260416030884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2373899519443512},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.1517825722694397},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12510502338409424},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2025.3582366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3582366","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3643945900","display_name":null,"funder_award_id":"62371411","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2165849651","https://openalex.org/W2963336322","https://openalex.org/W3015613093","https://openalex.org/W3037582816","https://openalex.org/W3042621011","https://openalex.org/W3043758338","https://openalex.org/W3045638580","https://openalex.org/W3103989228","https://openalex.org/W3128382687","https://openalex.org/W3196371845","https://openalex.org/W3196463200","https://openalex.org/W3203177227","https://openalex.org/W3204468048","https://openalex.org/W3205462627","https://openalex.org/W3211040691","https://openalex.org/W3213321731","https://openalex.org/W3214755690","https://openalex.org/W4210542269","https://openalex.org/W4212773196","https://openalex.org/W4226047819","https://openalex.org/W4285813772","https://openalex.org/W4286374952","https://openalex.org/W4287332481","https://openalex.org/W4288391351","https://openalex.org/W4293219750","https://openalex.org/W4312869277","https://openalex.org/W4313252233","https://openalex.org/W4320029353","https://openalex.org/W4367663325","https://openalex.org/W4380903870","https://openalex.org/W4385627126","https://openalex.org/W4387448460","https://openalex.org/W4391769135","https://openalex.org/W4394843847","https://openalex.org/W4399767265","https://openalex.org/W4400275736","https://openalex.org/W4401879004","https://openalex.org/W4402216694","https://openalex.org/W4403211858","https://openalex.org/W4406921713","https://openalex.org/W4410294961"],"related_works":["https://openalex.org/W2389084676","https://openalex.org/W1998764991","https://openalex.org/W2352562594","https://openalex.org/W2031358465","https://openalex.org/W2375117482","https://openalex.org/W286567303","https://openalex.org/W2923452570","https://openalex.org/W3117343553","https://openalex.org/W206598027","https://openalex.org/W2007874760"],"abstract_inverted_index":{"Hierarchical":[0],"federated":[1],"learning":[2],"(HFL)":[3],"provides":[4,79],"a":[5,71,80,112,135,147],"new":[6],"client-edge-cloud":[7],"paradigm":[8],"to":[9,34,58,61,83,101,119],"reduce":[10],"the":[11,19,44,50,54,63,93,103,108,121,130,143,159],"network":[12],"burden":[13],"brought":[14],"by":[15],"centralized":[16],"FL.":[17],"However,":[18],"current":[20],"HFL":[21,76],"framework":[22,77],"mainly":[23],"adopts":[24],"orthogonal":[25],"multiple":[26,73],"access":[27,74],"(OMA)":[28],"techniques":[29],"for":[30,167],"client-edge":[31,95],"communication,":[32],"failing":[33],"cope":[35],"with":[36,39,139],"massive":[37,85],"connections":[38],"limited":[40],"bandwidth":[41],"resources.":[42],"Besides,":[43],"highly":[45],"skewed":[46],"data":[47,124,180],"distribution":[48],"across":[49],"clients":[51,169],"can":[52],"undermine":[53],"convergence,":[55],"which":[56],"leads":[57],"more":[59],"rounds":[60],"reach":[62],"target":[64],"performance.":[65],"In":[66],"this":[67,89],"paper,":[68],"we":[69,91,128,157],"consider":[70],"non-orthogonal":[72],"(NOMA)-enabled":[75],"that":[78,189],"spectrum-efficient":[81],"approach":[82],"enable":[84],"client":[86,196],"connectivity.":[87],"Under":[88],"framework,":[90],"investigate":[92],"joint":[94],"association":[96,132],"and":[97,123,141,162,182,199],"resource":[98,122,200],"allocation":[99],"problem":[100,110,115,133,166],"optimize":[102],"dual-efficiency.":[104],"We":[105,174],"first":[106],"reformulate":[107],"original":[109],"as":[111,134],"bi-objective":[113],"optimization":[114,172],"using":[116,170],"dynamic":[117],"weights":[118],"balance":[120],"heterogeneity.":[125],"After":[126],"that,":[127],"formulate":[129],"edge-client":[131,155],"many-to-one":[136],"matching":[137,149],"game":[138],"externalities":[140],"swap":[142],"connected":[144],"pairs":[145],"until":[146],"stable":[148],"is":[150],"obtained.":[151],"For":[152],"each":[153],"temporary":[154],"association,":[156],"solve":[158],"CPU":[160],"frequency":[161],"transmission":[163,198],"power":[164],"control":[165],"all":[168],"convex":[171],"methods.":[173],"conduct":[175],"experiments":[176],"under":[177],"various":[178],"unbalanced":[179],"distributions":[181],"communication":[183],"environment":[184],"settings.":[185],"The":[186],"results":[187],"demonstrate":[188],"our":[190],"method":[191],"outperforms":[192],"other":[193],"benchmarks":[194],"regarding":[195],"scheduling,":[197],"allocation.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
