{"id":"https://openalex.org/W3161976591","doi":"https://doi.org/10.1109/tvt.2021.3077893","title":"Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles","display_name":"Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles","publication_year":2021,"publication_date":"2021-05-06","ids":{"openalex":"https://openalex.org/W3161976591","doi":"https://doi.org/10.1109/tvt.2021.3077893","mag":"3161976591"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2021.3077893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2021.3077893","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":true,"oa_status":"green","oa_url":"https://research.aalto.fi/files/66511678/ELEC_Zhou_etal_Two_layer_Federated_Learning_IEEE_Transactions_on_Vehicular_Technology_2021_acceptedauthormanuscript.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055675863","display_name":"Xiaokang Zhou","orcid":"https://orcid.org/0000-0003-3488-4679"},"institutions":[{"id":"https://openalex.org/I171494771","display_name":"Shiga University","ror":"https://ror.org/01vvhy971","country_code":"JP","type":"education","lineage":["https://openalex.org/I171494771"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaokang Zhou","raw_affiliation_strings":["Faculty of Data Science, Shiga University, Hikone 522-8522, Japan, and also with the RIKEN Center for Advanced Intelligence Project, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3488-4679","affiliations":[{"raw_affiliation_string":"Faculty of Data Science, Shiga University, Hikone 522-8522, Japan, and also with the RIKEN Center for Advanced Intelligence Project, Tokyo, Japan","institution_ids":["https://openalex.org/I171494771","https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073441538","display_name":"Wei Liang","orcid":"https://orcid.org/0000-0002-0689-256X"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liang","raw_affiliation_strings":["Base of International Science and Technology Innovation and Cooperation on Big Data Technology and Management, Hunan University of Technology and Business, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0689-256X","affiliations":[{"raw_affiliation_string":"Base of International Science and Technology Innovation and Cooperation on Big Data Technology and Management, Hunan University of Technology and Business, Changsha, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101916568","display_name":"Jinhua She","orcid":"https://orcid.org/0000-0003-3165-5045"},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jinhua She","raw_affiliation_strings":["School of Engineering, Tokyo University of Technology, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3165-5045","affiliations":[{"raw_affiliation_string":"School of Engineering, Tokyo University of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I148798404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078219471","display_name":"Zheng Yan","orcid":"https://orcid.org/0000-0002-9697-2108"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["CN","FI"],"is_corresponding":false,"raw_author_name":"Zheng Yan","raw_affiliation_strings":["Department of Communications and Networking, Aalto University, Espoo, Finland","State Key Laboratory on Integrated Services Networks and the School of Cyber Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9697-2108","affiliations":[{"raw_affiliation_string":"Department of Communications and Networking, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"State Key Laboratory on Integrated Services Networks and the School of Cyber Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091532881","display_name":"Kevin I\u2010Kai Wang","orcid":"https://orcid.org/0000-0001-8450-2558"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Kevin Wang","raw_affiliation_strings":["Department of Electrical, Computer and Software Engineering, The University of Auckland, Auckland, New Zealand"],"raw_orcid":"https://orcid.org/0000-0001-8450-2558","affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer and Software Engineering, The University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":29.4558,"has_fulltext":true,"cited_by_count":291,"citation_normalized_percentile":{"value":0.99763741,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"70","issue":"6","first_page":"5308","last_page":"5317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9972000122070312,"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":0.7996640801429749},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6122442483901978},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5566248297691345},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5341578722000122},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.499072790145874},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4497334063053131},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4466196298599243},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4463269114494324},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.445929616689682},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4415558874607086},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42184486985206604},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.39784976840019226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34779495000839233},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1482434868812561}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996640801429749},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6122442483901978},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5566248297691345},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5341578722000122},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.499072790145874},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4497334063053131},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4466196298599243},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4463269114494324},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.445929616689682},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4415558874607086},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42184486985206604},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.39784976840019226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34779495000839233},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1482434868812561},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvt.2021.3077893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2021.3077893","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"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/109170","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/b8d7eb8f-c744-4194-8acc-dc3b6c3c7b0d","pdf_url":"https://research.aalto.fi/files/66511678/ELEC_Zhou_etal_Two_layer_Federated_Learning_IEEE_Transactions_on_Vehicular_Technology_2021_acceptedauthormanuscript.pdf","source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"A1 Alkuper\u00e4isartikkeli tieteellisess\u00e4 aikakauslehdess\u00e4"}],"best_oa_location":{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/109170","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/b8d7eb8f-c744-4194-8acc-dc3b6c3c7b0d","pdf_url":"https://research.aalto.fi/files/66511678/ELEC_Zhou_etal_Two_layer_Federated_Learning_IEEE_Transactions_on_Vehicular_Technology_2021_acceptedauthormanuscript.pdf","source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"A1 Alkuper\u00e4isartikkeli tieteellisess\u00e4 aikakauslehdess\u00e4"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1339864048","display_name":null,"funder_award_id":"72088101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1359318532","display_name":null,"funder_award_id":"2017YFE0117500","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"},{"id":"https://openalex.org/G1444927061","display_name":null,"funder_award_id":"2017YFE0117500","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1489494493","display_name":null,"funder_award_id":"2019JJ40150","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G2071613473","display_name":"\u591a\u57df\u5065\u5eb7\u5927\u6570\u636e\u9a71\u52a8\u7684\u91cd\u5927\u4f20\u67d3\u75c5\u75ab\u60c5\u65e9\u671f\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62072171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G220146140","display_name":null,"funder_award_id":"72091515","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2690997800","display_name":null,"funder_award_id":"2019YFE0190500","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"},{"id":"https://openalex.org/G5459869127","display_name":null,"funder_award_id":"2019GK1010","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"},{"id":"https://openalex.org/G7941520463","display_name":null,"funder_award_id":"2019GK1010","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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320336026","display_name":"National Key Research and Development Program of China Stem Cell and Translational Research","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3161976591.pdf","grobid_xml":"https://content.openalex.org/works/W3161976591.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W642003551","https://openalex.org/W1146454693","https://openalex.org/W1484528067","https://openalex.org/W1964224627","https://openalex.org/W1978736542","https://openalex.org/W2093478200","https://openalex.org/W2099131127","https://openalex.org/W2136398072","https://openalex.org/W2142347946","https://openalex.org/W2180055784","https://openalex.org/W2480539303","https://openalex.org/W2517325737","https://openalex.org/W2598391399","https://openalex.org/W2883059862","https://openalex.org/W2912213068","https://openalex.org/W2922587577","https://openalex.org/W2929612105","https://openalex.org/W2964005248","https://openalex.org/W2968836089","https://openalex.org/W2969519626","https://openalex.org/W2980789769","https://openalex.org/W2993809815","https://openalex.org/W3001299093","https://openalex.org/W3006655855","https://openalex.org/W3011766871","https://openalex.org/W3011830499","https://openalex.org/W3013536937","https://openalex.org/W3014297757","https://openalex.org/W3018724822","https://openalex.org/W3023574229","https://openalex.org/W3033988836","https://openalex.org/W3043953517","https://openalex.org/W3045976864","https://openalex.org/W3048492641","https://openalex.org/W3049535205","https://openalex.org/W3080475059","https://openalex.org/W3090109660","https://openalex.org/W3094186382","https://openalex.org/W3103912303","https://openalex.org/W3104668545","https://openalex.org/W6674947806"],"related_works":["https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2994939960","https://openalex.org/W2914646191","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313339048","https://openalex.org/W4400053908","https://openalex.org/W3023564924","https://openalex.org/W2942586735"],"abstract_inverted_index":{"The":[0],"vision":[1],"of":[2,23,48,55,76,118,131,162,213],"the":[3,21,60,77,119,126,163,179,217],"upcoming":[4],"6G":[5,83,140,200],"technologies":[6],"that":[7,44,178],"have":[8],"fast":[9],"data":[10,57,97],"rate,":[11],"low":[12],"latency,":[13],"and":[14,26,85,91,100,110,128,134,152,192,207],"ultra-dense":[15],"network,":[16],"draws":[17],"great":[18],"attentions":[19],"to":[20,73,86,123,154],"Internet":[22],"Vehicles":[24],"(IoV)":[25],"Vehicle-to-Everything":[27],"(V2X)":[28],"communication":[29,102],"for":[30,39],"intelligent":[31,156,169],"transportation":[32,170],"systems.":[33],"There":[34],"is":[35,71,113,149,160],"an":[36],"urgent":[37],"need":[38],"distributed":[40,78,146],"machine":[41],"learning":[42,69,94,121,147,186,218],"techniques":[43],"can":[45],"take":[46,74],"advantages":[47,75],"massive":[49],"interconnected":[50],"networks":[51],"with":[52,172,188,210],"explosive":[53],"amount":[54],"heterogeneous":[56,107],"generated":[58],"at":[59],"network":[61,201],"edge.":[62],"In":[63],"this":[64],"study,":[65],"a":[66,88,116,184],"two-layer":[67],"federated":[68,120],"model":[70,108],"proposed":[72,180],"end-edge-cloud":[79],"architecture":[80],"typical":[81],"in":[82,139,167,216],"environment,":[84],"achieve":[87],"more":[89,92],"efficient":[90],"accurate":[93],"while":[95],"ensuring":[96],"privacy":[98],"protection":[99],"reducing":[101],"overheads.":[103],"A":[104],"novel":[105],"multi-layer":[106],"selection":[109],"aggregation":[111],"scheme":[112],"designed":[114],"as":[115],"part":[117],"process":[122],"better":[124,189,209],"utilize":[125],"local":[127],"global":[129],"contexts":[130],"individual":[132],"vehicles":[133],"road":[135],"side":[136],"units":[137],"(RSUs)":[138],"supported":[141],"vehicular":[142],"networks.":[143],"This":[144],"context-aware":[145],"mechanism":[148],"then":[150],"developed":[151],"applied":[153],"address":[155],"object":[157],"detection,":[158],"which":[159,182],"one":[161],"most":[164],"critical":[165],"challenges":[166],"modern":[168],"systems":[171],"autonomous":[173],"vehicles.":[174],"Evaluation":[175],"results":[176],"showed":[177],"method,":[181],"demonstrates":[183],"higher":[185],"accuracy":[187],"precision,":[190],"recall":[191],"F1":[193],"score,":[194],"outperforms":[195],"other":[196],"state-of-the-art":[197],"methods":[198],"under":[199],"configuration":[202],"by":[203],"achieving":[204],"faster":[205],"convergence,":[206],"scales":[208],"larger":[211],"numbers":[212],"RSUs":[214],"involved":[215],"process.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":54},{"year":2024,"cited_by_count":61},{"year":2023,"cited_by_count":78},{"year":2022,"cited_by_count":51},{"year":2021,"cited_by_count":36}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
