{"id":"https://openalex.org/W3184838508","doi":"https://doi.org/10.1109/tc.2021.3099723","title":"Adaptive Federated Learning on Non-IID Data With Resource Constraint","display_name":"Adaptive Federated Learning on Non-IID Data With Resource Constraint","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3184838508","doi":"https://doi.org/10.1109/tc.2021.3099723","mag":"3184838508"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2021.3099723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2021.3099723","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"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 Computers","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/A5007296623","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-8073-2118"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-8073-2118","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043464306","display_name":"Song Guo","orcid":"https://orcid.org/0000-0001-9831-2202"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Song Guo","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-9831-2202","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017137055","display_name":"Zhihao Qu","orcid":"https://orcid.org/0000-0001-7538-1985"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Qu","raw_affiliation_strings":["Key Laboratory of Water Resources Big Data Technology of Ministry of Water Resources, School of Computer and Information, Hohai University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-7538-1985","affiliations":[{"raw_affiliation_string":"Key Laboratory of Water Resources Big Data Technology of Ministry of Water Resources, School of Computer and Information, Hohai University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077093242","display_name":"Deze Zeng","orcid":"https://orcid.org/0000-0003-3276-1202"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deze Zeng","raw_affiliation_strings":["School of Computer Science and Technology, China University of Geosciences (Wuhan), Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0003-3276-1202","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Geosciences (Wuhan), Wuhan, Hubei, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102978830","display_name":"Yufeng Zhan","orcid":"https://orcid.org/0000-0002-1589-6458"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Zhan","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061082180","display_name":"Qifeng Liu","orcid":"https://orcid.org/0000-0001-6191-076X"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qifeng Liu","raw_affiliation_strings":["Shenzhen Polytechnic, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-6191-076X","affiliations":[{"raw_affiliation_string":"Shenzhen Polytechnic, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009505719","display_name":"Rajendra Akerkar","orcid":"https://orcid.org/0000-0002-4048-7226"},"institutions":[{"id":"https://openalex.org/I33875959","display_name":"Vestlandsforsking","ror":"https://ror.org/04z1q2j11","country_code":"NO","type":"facility","lineage":["https://openalex.org/I33875959"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Rajendra Akerkar","raw_affiliation_strings":["Information Technology of Western Norway Research Institute, Sogndal, Norway"],"raw_orcid":"https://orcid.org/0000-0002-4048-7226","affiliations":[{"raw_affiliation_string":"Information Technology of Western Norway Research Institute, Sogndal, Norway","institution_ids":["https://openalex.org/I33875959"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.0929,"has_fulltext":false,"cited_by_count":134,"citation_normalized_percentile":{"value":0.98895885,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"71","issue":"7","first_page":"1655","last_page":"1667"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9972000122070312,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8255767822265625},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.744728684425354},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6427180767059326},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5998786687850952},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.5945243835449219},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.5507206320762634},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5104245543479919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5036553740501404},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47593358159065247},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4650878310203552},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4520242214202881},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.20151150226593018},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1882598102092743},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08073428273200989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8255767822265625},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.744728684425354},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6427180767059326},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5998786687850952},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.5945243835449219},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.5507206320762634},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5104245543479919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5036553740501404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47593358159065247},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4650878310203552},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4520242214202881},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.20151150226593018},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1882598102092743},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08073428273200989},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tc.2021.3099723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2021.3099723","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"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 Computers","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-130045","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85112664813&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1182996275","display_name":null,"funder_award_id":"210202079","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3085575710","display_name":null,"funder_award_id":"309448","funder_id":"https://openalex.org/F4320327758","funder_display_name":"Direktoratet for internasjonalisering og kvalitetsutvikling i h\u00f8gare utdanning"},{"id":"https://openalex.org/G3332848674","display_name":null,"funder_award_id":"R2020A045","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G5036407848","display_name":null,"funder_award_id":"2019M661709","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5449255452","display_name":null,"funder_award_id":"B200202176","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7111805306","display_name":"\u9762\u5411\u8fb9\u7f18\u667a\u80fd\u7684\u8d44\u6e90\u914d\u7f6e\u4e0e\u90e8\u7f72\u4f18\u5316\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61872310","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323299","display_name":"Norges Forskningsr\u00e5d","ror":"https://ror.org/00epmv149"},{"id":"https://openalex.org/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null},{"id":"https://openalex.org/F4320327758","display_name":"Direktoratet for internasjonalisering og kvalitetsutvikling i h\u00f8gare utdanning","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2283463896","https://openalex.org/W2553625606","https://openalex.org/W2736601468","https://openalex.org/W2744599870","https://openalex.org/W2750384547","https://openalex.org/W2798720628","https://openalex.org/W2807006176","https://openalex.org/W2900182564","https://openalex.org/W2903471046","https://openalex.org/W2944903634","https://openalex.org/W2945142306","https://openalex.org/W2962696932","https://openalex.org/W2963318081","https://openalex.org/W2963433607","https://openalex.org/W2963470657","https://openalex.org/W2973613048","https://openalex.org/W2978780959","https://openalex.org/W2982464076","https://openalex.org/W3002258616","https://openalex.org/W3007279825","https://openalex.org/W3016858123","https://openalex.org/W3042621011","https://openalex.org/W3043758338","https://openalex.org/W3044126989","https://openalex.org/W3046178819","https://openalex.org/W3047304572","https://openalex.org/W3085873903","https://openalex.org/W3086653805","https://openalex.org/W3095276777","https://openalex.org/W3102816259","https://openalex.org/W3105122387","https://openalex.org/W3107078643","https://openalex.org/W3129603732","https://openalex.org/W3174818244","https://openalex.org/W4287728394","https://openalex.org/W4297785678","https://openalex.org/W4299283926","https://openalex.org/W4394672593","https://openalex.org/W6631190155","https://openalex.org/W6638018090","https://openalex.org/W6683195989","https://openalex.org/W6684205842","https://openalex.org/W6684859321","https://openalex.org/W6692846177","https://openalex.org/W6695838908","https://openalex.org/W6728757088","https://openalex.org/W6732127223","https://openalex.org/W6741002519","https://openalex.org/W6743688258","https://openalex.org/W6752029299","https://openalex.org/W6754416507","https://openalex.org/W6757139170","https://openalex.org/W6759238902","https://openalex.org/W6762449936","https://openalex.org/W6762563133","https://openalex.org/W6762702220","https://openalex.org/W6762879059","https://openalex.org/W6765541894","https://openalex.org/W6773520829","https://openalex.org/W6773817997","https://openalex.org/W6773976177","https://openalex.org/W6780647363","https://openalex.org/W6781223951","https://openalex.org/W6781318954","https://openalex.org/W6782993581","https://openalex.org/W6784343361","https://openalex.org/W6785768294","https://openalex.org/W6789305514","https://openalex.org/W6864350279"],"related_works":["https://openalex.org/W4281847915","https://openalex.org/W3000635674","https://openalex.org/W4288259399","https://openalex.org/W2969529314","https://openalex.org/W4312206232","https://openalex.org/W2975301014","https://openalex.org/W4206903459","https://openalex.org/W2754816816","https://openalex.org/W4366280654","https://openalex.org/W3160167280"],"abstract_inverted_index":{"Federated":[0],"learning":[1,154],"(FL)":[2],"has":[3,157],"been":[4,158],"widely":[5],"recognized":[6],"as":[7,193],"a":[8,18,72,141],"promising":[9],"approach":[10,156],"by":[11,120,136,188],"enabling":[12],"individual":[13],"end-devices":[14],"to":[15,65,85,130,160,190,195],"cooperatively":[16],"train":[17],"global":[19,67,92,172],"model":[20,68,74,186],"without":[21],"exposing":[22],"their":[23,148],"own":[24],"data.":[25],"One":[26],"of":[27,48,102,110,117,143,165,171],"the":[28,34,42,46,66,78,87,100,105,108,114,121,132,163,169,185,196],"key":[29],"challenges":[30],"in":[31,71,81],"FL":[32],"is":[33],"non-independent":[35],"and":[36,91,124,145,168],"identically":[37],"distributed":[38],"(Non-IID)":[39],"data":[40,60,138],"across":[41],"clients,":[43],"which":[44],"decreases":[45],"efficiency":[47],"stochastic":[49],"gradient":[50],"descent":[51],"(SGD)":[52],"based":[53,155],"training":[54,89,115,164],"process.":[55],"Moreover,":[56],"clients":[57],"with":[58],"different":[59,177],"distributions":[61],"may":[62],"cause":[63],"bias":[64],"update,":[69],"resulting":[70],"degraded":[73],"accuracy.":[75],"To":[76],"tackle":[77],"Non-IID":[79,137],"problem":[80],"FL,":[82],"we":[83,98,127],"aim":[84],"optimize":[86],"local":[88,96,111,166],"process":[90],"aggregation":[93],"simultaneously.":[94],"For":[95],"training,":[97],"analyze":[99],"effect":[101],"hyperparameters":[103],"(e.g.,":[104],"batch":[106,149],"size,":[107],"number":[109],"updates)":[112],"on":[113,176],"performance":[116],"FL.":[118],"Guided":[119],"toy":[122],"example":[123],"theoretical":[125],"analysis,":[126],"are":[128],"motivated":[129],"mitigate":[131],"negative":[133],"impacts":[134],"incurred":[135],"via":[139],"selecting":[140],"subset":[142],"participants":[144],"adaptively":[146,161],"adjust":[147],"size.":[150],"A":[151],"deep":[152],"reinforcement":[153],"proposed":[159],"control":[162],"models":[167],"phase":[170],"aggregation.":[173],"Extensive":[174],"experiments":[175],"datasets":[178],"show":[179],"that":[180],"our":[181],"method":[182],"can":[183],"improve":[184],"accuracy":[187],"up":[189],"30":[191],"percent,":[192],"compared":[194],"state-of-the-art":[197],"approaches.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":42},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}