{"id":"https://openalex.org/W4392175437","doi":"https://doi.org/10.1109/globecom54140.2023.10437951","title":"Asynchronous Federated Learning via Over-the-Air Computation","display_name":"Asynchronous Federated Learning via Over-the-Air Computation","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4392175437","doi":"https://doi.org/10.1109/globecom54140.2023.10437951"},"language":"en","primary_location":{"id":"doi:10.1109/globecom54140.2023.10437951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom54140.2023.10437951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/98181/2/Nallanathan%20Asynchronous%20Federated%20Learning%202024%20Accepted.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102622147","display_name":"Zijian Zheng","orcid":"https://orcid.org/0009-0009-5168-9403"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zijian Zheng","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London,London,UK","School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London,London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009213856","display_name":"Yansha Deng","orcid":"https://orcid.org/0000-0003-1001-7036"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yansha Deng","raw_affiliation_strings":["King's College London,Department of Engineering,London,UK"],"affiliations":[{"raw_affiliation_string":"King's College London,Department of Engineering,London,UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684378","display_name":"Xiaonan Liu","orcid":"https://orcid.org/0000-0002-5558-6067"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaonan Liu","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London,London,UK","School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London,London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002265731","display_name":"Arumugam Nallanathan","orcid":"https://orcid.org/0000-0001-8337-5884"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Arumugam Nallanathan","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London,London,UK","School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London,London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102622147"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20820048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1345","last_page":"1350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":0.9995999932289124,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.8123820424079895},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.7455807328224182},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5670902132987976},{"id":"https://openalex.org/keywords/asynchronous-learning","display_name":"Asynchronous learning","score":0.4707026481628418},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3948078453540802},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3608103394508362},{"id":"https://openalex.org/keywords/synchronous-learning","display_name":"Synchronous learning","score":0.14930835366249084},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11047795414924622},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.08010110259056091},{"id":"https://openalex.org/keywords/teaching-method","display_name":"Teaching method","score":0.05694937705993652}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8123820424079895},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7455807328224182},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5670902132987976},{"id":"https://openalex.org/C2777072894","wikidata":"https://www.wikidata.org/wiki/Q4812204","display_name":"Asynchronous learning","level":5,"score":0.4707026481628418},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3948078453540802},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3608103394508362},{"id":"https://openalex.org/C19122763","wikidata":"https://www.wikidata.org/wiki/Q7662215","display_name":"Synchronous learning","level":4,"score":0.14930835366249084},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11047795414924622},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.08010110259056091},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.05694937705993652},{"id":"https://openalex.org/C51672120","wikidata":"https://www.wikidata.org/wiki/Q303446","display_name":"Cooperative learning","level":3,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globecom54140.2023.10437951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom54140.2023.10437951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/98181","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/98181","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/98181/2/Nallanathan%20Asynchronous%20Federated%20Learning%202024%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/98181","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/98181","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/98181/2/Nallanathan%20Asynchronous%20Federated%20Learning%202024%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1032873836","display_name":null,"funder_award_id":"101096034","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"},{"id":"https://openalex.org/G198217626","display_name":null,"funder_award_id":"10061781","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"},{"id":"https://openalex.org/G4213530550","display_name":null,"funder_award_id":"101096034","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320314707","display_name":"Government of the United Kingdom","ror":"https://ror.org/05wnh3t63"},{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392175437.pdf","grobid_xml":"https://content.openalex.org/works/W4392175437.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2921434559","https://openalex.org/W2981138228","https://openalex.org/W3027958081","https://openalex.org/W3093034895","https://openalex.org/W3123459983","https://openalex.org/W4224995019","https://openalex.org/W4362653504","https://openalex.org/W4387353472","https://openalex.org/W6728757088","https://openalex.org/W6739917289"],"related_works":["https://openalex.org/W4226047841","https://openalex.org/W2156559761","https://openalex.org/W3020208395","https://openalex.org/W2496167052","https://openalex.org/W1956936791","https://openalex.org/W2041343407","https://openalex.org/W4401821536","https://openalex.org/W2058515809","https://openalex.org/W4295242624","https://openalex.org/W2946278724"],"abstract_inverted_index":{"The":[0,79],"emerging":[1],"field":[2],"of":[3,98,124,162,175],"federated":[4],"learning":[5],"(FL)":[6],"provides":[7],"great":[8],"potential":[9],"for":[10,90],"edge":[11],"intelligence":[12],"while":[13],"protecting":[14],"data":[15,86],"privacy.":[16],"However,":[17],"as":[18,31],"the":[19,32,84,96,156,167,173,178],"system":[20],"grows":[21],"in":[22,74],"scale":[23],"or":[24],"becomes":[25],"more":[26,150],"heterogeneous,":[27],"new":[28],"challenges,":[29],"such":[30],"spectrum":[33],"shortage":[34],"and":[35,49,101,171,177],"stragglers":[36],"issues,":[37],"arise.":[38],"These":[39],"issues":[40],"can":[41,94],"potentially":[42],"be":[43,88],"addressed":[44],"by":[45,158],"over-the-air":[46],"computation":[47],"(AirComp)":[48],"asynchronous":[50,70],"FL,":[51],"respectively,":[52],"however,":[53],"their":[54,60],"combination":[55],"is":[56,105],"difficult":[57],"due":[58],"to":[59,87],"conflicting":[61],"requirements.":[62],"In":[63],"this":[64,109],"paper,":[65],"we":[66,111],"propose":[67,112],"a":[68,75,113,121],"novel":[69],"FL":[71],"with":[72,139],"AirComp":[73,104],"time-triggered":[76],"manner":[77],"(async-AirFed).":[78],"conventional":[80],"async":[81],"aggregation":[82],"requests":[83],"historical":[85,125],"used":[89],"model":[91],"updates,":[92],"which":[93,119,164],"cause":[95],"accumulation":[97],"channel":[99],"noise":[100],"interference":[102],"when":[103],"applied.":[106],"To":[107],"address":[108],"issue,":[110],"simple":[114],"but":[115],"effective":[116],"truncation":[117],"method":[118],"retains":[120],"limited":[122],"length":[123],"data.":[126],"Convergence":[127],"analysis":[128],"presents":[129],"that":[130,145],"our":[131,146],"proposed":[132,147],"async-AirFed":[133],"converges":[134],"on":[135],"non-convex":[136],"optimality":[137],"function":[138],"sub-linear":[140],"rate.":[141],"Simulation":[142],"results":[143],"show":[144],"scheme":[148],"achieves":[149],"than":[151,155],"34%":[152],"faster":[153],"convergence":[154],"benchmarks,":[157],"achieving":[159],"an":[160],"accuracy":[161],"85%,":[163],"also":[165],"improves":[166],"time":[168],"utilization":[169],"efficiency":[170],"reduces":[172],"impact":[174],"staleness":[176],"channel.":[179]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}