{"id":"https://openalex.org/W4390204210","doi":"https://doi.org/10.1109/tvt.2023.3346920","title":"Device Scheduling for Relay-Assisted Over-the-Air Aggregation in Federated Learning","display_name":"Device Scheduling for Relay-Assisted Over-the-Air Aggregation in Federated Learning","publication_year":2023,"publication_date":"2023-12-25","ids":{"openalex":"https://openalex.org/W4390204210","doi":"https://doi.org/10.1109/tvt.2023.3346920"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2023.3346920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3346920","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5105008424","display_name":"Fan Zhang","orcid":"https://orcid.org/0009-0004-2023-8216"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","School of Communication and Electronic Engineering, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0004-2023-8216","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Communication and Electronic Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005373524","display_name":"Jining Chen","orcid":"https://orcid.org/0009-0008-0357-6802"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jining Chen","raw_affiliation_strings":["Joint Innovation Laboratory of Digital GuangXi Smart Infrastructures, Guangxi Information Center, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint Innovation Laboratory of Digital GuangXi Smart Infrastructures, Guangxi Information Center, Nanning, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019043794","display_name":"Kunlun Wang","orcid":"https://orcid.org/0000-0002-5727-5166"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunlun Wang","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","School of Communication and Electronic Engineering, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5727-5166","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Communication and Electronic Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100344189","display_name":"Wen Chen","orcid":"https://orcid.org/0000-0003-2133-8679"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Chen","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2133-8679","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5105008424"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.852,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79727264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"73","issue":"5","first_page":"7412","last_page":"7417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9965000152587891,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9951000213623047,"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":0.688346266746521},{"id":"https://openalex.org/keywords/relay","display_name":"Relay","score":0.6817073225975037},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.651816189289093},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5985186696052551},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5549095273017883},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5455635190010071},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5224977135658264},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.4965699315071106},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46307694911956787},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.45836979150772095},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4564076364040375},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4412565529346466},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.32744207978248596},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.2971951961517334},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2559601664543152},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.22533321380615234},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18559885025024414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1125466525554657},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.11037316918373108},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09181678295135498}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688346266746521},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.6817073225975037},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.651816189289093},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5985186696052551},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5549095273017883},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5455635190010071},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5224977135658264},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.4965699315071106},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46307694911956787},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.45836979150772095},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4564076364040375},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4412565529346466},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.32744207978248596},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.2971951961517334},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2559601664543152},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.22533321380615234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18559885025024414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1125466525554657},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.11037316918373108},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09181678295135498},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2023.3346920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3346920","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2981138228","https://openalex.org/W2999074226","https://openalex.org/W3033664100","https://openalex.org/W3091075746","https://openalex.org/W3093755649","https://openalex.org/W3181372869","https://openalex.org/W3183645631","https://openalex.org/W3188694394","https://openalex.org/W3205462627","https://openalex.org/W3212431702","https://openalex.org/W4206414320","https://openalex.org/W4312674606","https://openalex.org/W4319778953","https://openalex.org/W4320005495","https://openalex.org/W6728757088","https://openalex.org/W6768511045"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4319161913","https://openalex.org/W4313463379"],"abstract_inverted_index":{"Federated":[0],"learning":[1,117],"(FL)":[2],"leverages":[3],"data":[4],"distributed":[5],"at":[6],"the":[7,10,30,47,56,78,85,92,101,112,126,129],"edge":[8,118],"of":[9,18,32,58,80,115,128],"network":[11],"to":[12,76],"enable":[13],"intelligent":[14],"applications.":[15],"The":[16,122],"efficiency":[17],"FL":[19,43,53],"can":[20],"be":[21],"improved":[22],"by":[23,90],"using":[24],"over-the-air":[25],"computation":[26],"(AirComp)":[27],"technology":[28],"in":[29,51],"process":[31],"gradient":[33],"aggregation.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38,66],"propose":[39],"a":[40,68],"relay-assisted":[41,52],"large-scale":[42],"framework,":[44],"and":[45,61,72,111],"investigate":[46],"device":[48,70,103],"scheduling":[49,104],"problem":[50,75,89,94],"systems":[54],"under":[55],"constraints":[57],"power":[59,73],"consumption":[60],"mean":[62],"squared":[63],"error":[64],"(MSE).":[65],"formulate":[67],"joint":[69],"scheduling,":[71],"allocation":[74],"maximize":[77],"number":[79,114],"scheduled":[81],"devices.":[82],"We":[83],"solve":[84],"resultant":[86],"non-convex":[87],"optimization":[88,93,98],"transforming":[91],"into":[95],"multiple":[96],"sparse":[97,107],"problems.":[99],"By":[100],"proposed":[102,130],"algorithm,":[105],"these":[106],"subproblems":[108],"are":[109],"solved":[110],"maximum":[113],"federated":[116],"devices":[119],"is":[120],"obtained.":[121],"simulation":[123],"results":[124],"demonstrate":[125],"effectiveness":[127],"scheme":[131],"as":[132],"compared":[133],"with":[134],"other":[135],"benchmark":[136],"schemes.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}