{"id":"https://openalex.org/W4315629847","doi":"https://doi.org/10.1109/globecom48099.2022.10001689","title":"UAV-Assisted Hierarchical Aggregation for Over-the-Air Federated Learning","display_name":"UAV-Assisted Hierarchical Aggregation for Over-the-Air Federated Learning","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315629847","doi":"https://doi.org/10.1109/globecom48099.2022.10001689"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10001689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10001689","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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/A5101841406","display_name":"Xiangyu Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyu Zhong","raw_affiliation_strings":["Yangtze Delta Region Institute, University of Electronic Science and Technology of China,Huzhou,China","National Key Lab of Sci. and Tech. on Communications, University of Electronic Sci. and Tech. of China, Chengdu, China","Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China"],"affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Institute, University of Electronic Science and Technology of China,Huzhou,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"National Key Lab of Sci. and Tech. on Communications, University of Electronic Sci. and Tech. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063946480","display_name":"Xiaojun Yuan","orcid":"https://orcid.org/0000-0002-0433-6535"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Yuan","raw_affiliation_strings":["Yangtze Delta Region Institute, University of Electronic Science and Technology of China,Huzhou,China","National Key Lab of Sci. and Tech. on Communications, University of Electronic Sci. and Tech. of China, Chengdu, China","Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China"],"affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Institute, University of Electronic Science and Technology of China,Huzhou,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"National Key Lab of Sci. and Tech. on Communications, University of Electronic Sci. and Tech. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074229909","display_name":"Huiyuan Yang","orcid":"https://orcid.org/0000-0002-8400-146X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyuan Yang","raw_affiliation_strings":["Yangtze Delta Region Institute, University of Electronic Science and Technology of China,Huzhou,China","Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China","National Key Lab of Sci. and Tech. on Communications, University of Electronic Sci. and Tech. of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Institute, University of Electronic Science and Technology of China,Huzhou,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"National Key Lab of Sci. and Tech. on Communications, University of Electronic Sci. and Tech. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037289699","display_name":"Chenxi Zhong","orcid":"https://orcid.org/0000-0002-2597-9206"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Zhong","raw_affiliation_strings":["Yangtze Delta Region Institute, University of Electronic Science and Technology of China,Huzhou,China","Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China","National Key Lab of Sci. and Tech. on Communications, University of Electronic Sci. and Tech. of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Institute, University of Electronic Science and Technology of China,Huzhou,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"National Key Lab of Sci. and Tech. on Communications, University of Electronic Sci. and Tech. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101841406"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":6.6063,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.98249895,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"807","last_page":"812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9965999722480774,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.991599977016449,"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":0.7970832586288452},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6336801648139954},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5712481141090393},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5471131801605225},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5468255877494812},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5133825540542603},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.46535760164260864},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.41573670506477356},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.349922239780426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33196327090263367},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1518431007862091}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7970832586288452},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6336801648139954},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5712481141090393},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5471131801605225},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5468255877494812},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5133825540542603},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.46535760164260864},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.41573670506477356},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.349922239780426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33196327090263367},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1518431007862091},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom48099.2022.10001689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10001689","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1751687266","https://openalex.org/W2140227342","https://openalex.org/W2530417694","https://openalex.org/W2738731084","https://openalex.org/W2963061782","https://openalex.org/W2981138228","https://openalex.org/W2999074226","https://openalex.org/W3103657382","https://openalex.org/W3111846921","https://openalex.org/W3152985350","https://openalex.org/W3167689670","https://openalex.org/W3193505445","https://openalex.org/W3199147997","https://openalex.org/W4226128256","https://openalex.org/W4250589301","https://openalex.org/W4386439311"],"related_works":["https://openalex.org/W4298221930","https://openalex.org/W2777914285","https://openalex.org/W4287823391","https://openalex.org/W1941703695","https://openalex.org/W3013363440","https://openalex.org/W4323768008","https://openalex.org/W3131574667","https://openalex.org/W4248382324","https://openalex.org/W3091278439","https://openalex.org/W4297883503"],"abstract_inverted_index":{"With":[0],"huge":[1],"amounts":[2],"of":[3,148],"data":[4],"explosively":[5],"increasing":[6],"on":[7,119,126],"the":[8,42,49,66,76,110,114,120,139,145],"mobile":[9],"edge,":[10],"over-the-air":[11],"federated":[12],"learning":[13,40,50],"(OA-FL)":[14],"emerges":[15],"as":[16,69],"a":[17,32,38,70,93,101],"promising":[18],"technique":[19],"to":[20,74,108,137],"reduce":[21,48],"communication":[22],"costs":[23],"and":[24,113,130],"privacy":[25],"leak":[26],"risks.":[27],"However,":[28],"when":[29],"devices":[30],"in":[31],"relatively":[33],"large":[34],"area":[35],"cooperatively":[36],"train":[37],"machine":[39],"model,":[41],"attendant":[43],"straggler":[44],"issue":[45],"will":[46],"significantly":[47],"performance.":[51],"In":[52],"this":[53,85],"paper,":[54],"we":[55,90],"propose":[56],"an":[57],"unmanned":[58],"aerial":[59],"vehicle":[60],"(UAV)":[61],"assisted":[62],"OA-FL":[63],"system,":[64],"where":[65],"UAV":[67,111],"acts":[68],"parameter":[71],"server":[72],"(PS)":[73],"aggregate":[75],"local":[77],"gradients":[78],"hierarchically":[79],"for":[80],"global":[81,115],"model":[82],"updating.":[83],"Under":[84],"UAV-assisted":[86,150],"hierarchical":[87,151],"aggregation":[88,116,152],"scheme,":[89],"carry":[91],"out":[92],"gradient-correlation-aware":[94],"FL":[95],"performance":[96],"analysis.":[97],"We":[98],"then":[99],"formulate":[100],"mean":[102],"squared":[103],"error":[104],"(MSE)":[105],"minimization":[106],"problem":[107],"tune":[109],"trajectory":[112],"coefficients":[117],"based":[118,125],"analysis":[121],"results.":[122],"An":[123],"algorithm":[124],"alternating":[127],"optimization":[128],"(AO)":[129],"successive":[131],"convex":[132],"approximation":[133],"(SCA)":[134],"is":[135],"developed":[136],"solve":[138],"formulated":[140],"problem.":[141],"Simulation":[142],"results":[143],"demonstrate":[144],"great":[146],"potential":[147],"our":[149],"scheme.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}