{"id":"https://openalex.org/W4416707350","doi":"https://doi.org/10.1109/jiot.2025.3637373","title":"SET-LASQ: A Temporal Information-Based Stochastic Event-Triggered Method for Communication-Efficient Federated Learning","display_name":"SET-LASQ: A Temporal Information-Based Stochastic Event-Triggered Method for Communication-Efficient Federated Learning","publication_year":2025,"publication_date":"2025-11-26","ids":{"openalex":"https://openalex.org/W4416707350","doi":"https://doi.org/10.1109/jiot.2025.3637373"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2025.3637373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3637373","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/A5031451674","display_name":"Xiaohong Li","orcid":"https://orcid.org/0009-0007-1078-4514"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohong Li","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China","School of Automation and Intelligent Manufacturing, Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"School of Automation and Intelligent Manufacturing, Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103211686","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0002-2707-8751"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Sun","raw_affiliation_strings":["Zhejiang Laboratory, Hangzhou, China","Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Laboratory, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047044643","display_name":"Zaiyue Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zaiyue Yang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China","School of Automation and Intelligent Manufacturing, Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"School of Automation and Intelligent Manufacturing, Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033274841","display_name":"Kemi Ding","orcid":"https://orcid.org/0000-0002-2534-8543"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kemi Ding","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China","School of Automation and Intelligent Manufacturing, Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"School of Automation and Intelligent Manufacturing, Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031451674"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19176495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"4","first_page":"6437","last_page":"6452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9175999760627747,"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":0.9175999760627747,"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":0.016100000590085983,"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":0.005499999970197678,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.6658999919891357},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6089000105857849},{"id":"https://openalex.org/keywords/sublinear-function","display_name":"Sublinear function","score":0.6037999987602234},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.5555999875068665},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5397999882698059},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5185999870300293},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4797999858856201},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4120999872684479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8866000175476074},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6658999919891357},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6089000105857849},{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.6037999987602234},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.5555999875068665},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5397999882698059},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5185999870300293},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4797999858856201},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45809999108314514},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4120999872684479},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.40860000252723694},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.37560001015663147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3325999975204468},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3050000071525574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30300000309944153},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.2759999930858612},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2648000121116638},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C2780288589","wikidata":"https://www.wikidata.org/wiki/Q7617833","display_name":"Stochastic quantization","level":4,"score":0.26080000400543213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3637373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3637373","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":[],"awards":[{"id":"https://openalex.org/G117305315","display_name":null,"funder_award_id":"62306289","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3368808220","display_name":null,"funder_award_id":"2024B1212010002","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6593946329","display_name":null,"funder_award_id":"2025ZD1605600","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G7084817740","display_name":null,"funder_award_id":"62303212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G829320511","display_name":null,"funder_award_id":"No. 20231120102304001","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G8616285237","display_name":null,"funder_award_id":"2024A1515011633","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8794641161","display_name":null,"funder_award_id":"No.62303212","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2043791244","https://openalex.org/W2141788746","https://openalex.org/W2407022425","https://openalex.org/W2606891064","https://openalex.org/W2989289980","https://openalex.org/W3015636663","https://openalex.org/W3093828967","https://openalex.org/W3107557773","https://openalex.org/W3111009493","https://openalex.org/W3153347425","https://openalex.org/W3156841666","https://openalex.org/W3185360874","https://openalex.org/W4206900626","https://openalex.org/W4226262972","https://openalex.org/W4281932789","https://openalex.org/W4296207781","https://openalex.org/W4297383547","https://openalex.org/W4309969787","https://openalex.org/W4312441490","https://openalex.org/W4320018486","https://openalex.org/W4384789282","https://openalex.org/W4385338519","https://openalex.org/W4387587838","https://openalex.org/W4388952984","https://openalex.org/W4389722404","https://openalex.org/W4390826759","https://openalex.org/W4391074923","https://openalex.org/W4392024287","https://openalex.org/W4392061644","https://openalex.org/W4394564302","https://openalex.org/W4399310976","https://openalex.org/W4401693674","https://openalex.org/W4402809558","https://openalex.org/W4404035289","https://openalex.org/W4404411459"],"related_works":[],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"enables":[3],"collaborative":[4],"model":[5,159],"training":[6,70],"across":[7],"distributed":[8],"edge":[9],"devices":[10,20,49],"without":[11],"sharing":[12],"raw":[13],"data,":[14],"but":[15,44,53,59],"the":[16,94,101],"large":[17],"number":[18],"of":[19,96,103],"and":[21,69,130,153,165,171],"frequent":[22],"parameter":[23],"exchanges":[24],"create":[25],"substantial":[26],"communication":[27,31,67,151],"overhead.":[28],"To":[29,72],"improve":[30],"efficiency,":[32],"event-triggered":[33,164],"mechanisms":[34],"have":[35],"been":[36],"introduced.":[37],"However,":[38],"such":[39],"approaches":[40],"may":[41],"exclude":[42],"valuable":[43],"inactive":[45],"users":[46,99],"(i.e.,":[47],"IoT":[48],"with":[50,81,100,126,137],"informative":[51],"data":[52,173],"limited":[54],"activity)":[55],"or":[56],"overlook":[57],"subtle":[58],"important":[60],"updates,":[61],"resulting":[62],"in":[63],"suboptimal":[64],"trade-offs":[65],"between":[66],"efficiency":[68],"performance.":[71],"address":[73],"this,":[74],"we":[75,118],"propose":[76],"Stochastic":[77,82],"Event-Triggered":[78],"Lazy":[79],"Aggregation":[80],"Quantization":[83],"(SET-LASQ).":[84],"SET-LASQ":[85,122,148],"employs":[86],"a":[87,127,134,138],"probabilistic":[88],"triggering":[89],"strategy":[90],"that":[91,121,147],"adaptively":[92],"balances":[93],"participation":[95],"highly":[97],"contributing":[98],"reactivation":[102],"long-inactive":[104],"ones,":[105],"while":[106,156],"incorporating":[107],"gradient":[108],"quantization":[109],"to":[110,133],"further":[111],"reduce":[112],"transmitted":[113],"bits.":[114],"Under":[115],"strong":[116],"convexity,":[117],"theoretically":[119],"prove":[120],"achieves":[123],"sublinear":[124],"convergence":[125,132],"diminishing":[128],"stepsize":[129],"linear":[131],"steady-state":[135],"neighborhood":[136],"fixed":[139],"stepsize.":[140],"Extensive":[141],"experiments":[142],"on":[143],"benchmark":[144],"datasets":[145],"verify":[146],"reduces":[149],"both":[150],"rounds":[152],"transmission":[154],"volume":[155],"maintaining":[157],"competitive":[158],"accuracy,":[160],"consistently":[161],"outperforming":[162],"deterministic":[163],"lazy":[166],"aggregation":[167],"baselines":[168],"under":[169],"independent":[170],"non-independent":[172],"distributions.":[174]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-27T00:00:00"}