{"id":"https://openalex.org/W2964881778","doi":"https://doi.org/10.1109/jiot.2019.2952146","title":"Local Differential Privacy for Deep Learning","display_name":"Local Differential Privacy for Deep Learning","publication_year":2019,"publication_date":"2019-11-07","ids":{"openalex":"https://openalex.org/W2964881778","doi":"https://doi.org/10.1109/jiot.2019.2952146","mag":"2964881778"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2019.2952146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2019.2952146","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1908.02997","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pathum Chamikara Mahawaga Arachchige","orcid":"https://orcid.org/0000-0002-4286-3774"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Pathum Chamikara Mahawaga Arachchige","raw_affiliation_strings":["CSIRO Data61, Melbourne, Australia","School of Science, RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"CSIRO Data61, Melbourne, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]},{"raw_affiliation_string":"School of Science, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peter Bertok","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peter Bertok","raw_affiliation_strings":["School of Science, RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ibrahim Khalil","orcid":"https://orcid.org/0000-0001-5512-114X"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ibrahim Khalil","raw_affiliation_strings":["School of Science, RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dongxi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dongxi Liu","raw_affiliation_strings":["CSIRO Data61, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"CSIRO Data61, Sydney, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Seyit Camtepe","orcid":"https://orcid.org/0000-0001-6353-8359"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Seyit Camtepe","raw_affiliation_strings":["CSIRO Data61, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"CSIRO Data61, Sydney, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mohammed Atiquzzaman","orcid":"https://orcid.org/0000-0001-9440-7669"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammed Atiquzzaman","raw_affiliation_strings":["School of Computer Science, University of Oklahoma, Norman, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Oklahoma, Norman, USA","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916","https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":10.4189,"has_fulltext":false,"cited_by_count":222,"citation_normalized_percentile":{"value":0.9852529,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"7","issue":"7","first_page":"5827","last_page":"5842"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.5699999928474426,"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":0.5699999928474426,"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":0.12219999730587006,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.08550000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7253000140190125},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6858999729156494},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6304000020027161},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4472000002861023},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4275999963283539},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.4156000018119812},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41269999742507935},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3935999870300293},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36230000853538513},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.33649998903274536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8952999711036682},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7253000140190125},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6858999729156494},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6304000020027161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6014999747276306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5584999918937683},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4472000002861023},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4275999963283539},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4156000018119812},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3935999870300293},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39010000228881836},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.33649998903274536},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.30079999566078186},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.28220000863075256},{"id":"https://openalex.org/C35341882","wikidata":"https://www.wikidata.org/wiki/Q8795","display_name":"Internet Protocol","level":3,"score":0.27320000529289246},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C513985346","wikidata":"https://www.wikidata.org/wiki/Q270471","display_name":"Virtualization","level":3,"score":0.25380000472068787},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2529999911785126},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2506999969482422}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jiot.2019.2952146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2019.2952146","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"},{"id":"pmh:oai:arXiv.org:1908.02997","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.02997","pdf_url":"https://arxiv.org/pdf/1908.02997","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:alma.61RMIT_INST:11256359530001341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/JIOT.2019.2952146","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1908.02997","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.02997","pdf_url":"https://arxiv.org/pdf/1908.02997","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W5855678","https://openalex.org/W1592775138","https://openalex.org/W1832693441","https://openalex.org/W1964835534","https://openalex.org/W1972622736","https://openalex.org/W1981029888","https://openalex.org/W1986293063","https://openalex.org/W2005107218","https://openalex.org/W2013823004","https://openalex.org/W2014128873","https://openalex.org/W2051267297","https://openalex.org/W2053637704","https://openalex.org/W2069857456","https://openalex.org/W2076063813","https://openalex.org/W2096544401","https://openalex.org/W2096870293","https://openalex.org/W2097583584","https://openalex.org/W2112796928","https://openalex.org/W2129157759","https://openalex.org/W2129870696","https://openalex.org/W2136114025","https://openalex.org/W2154126105","https://openalex.org/W2295598076","https://openalex.org/W2407215383","https://openalex.org/W2473418344","https://openalex.org/W2511107577","https://openalex.org/W2532967691","https://openalex.org/W2535690855","https://openalex.org/W2589250137","https://openalex.org/W2597998853","https://openalex.org/W2651887877","https://openalex.org/W2757528734","https://openalex.org/W2801823547","https://openalex.org/W2945326446","https://openalex.org/W2963699739","https://openalex.org/W2964122540","https://openalex.org/W4205228770","https://openalex.org/W4248861293","https://openalex.org/W4290960278","https://openalex.org/W6675354045","https://openalex.org/W6681909838","https://openalex.org/W6684191040","https://openalex.org/W6712394148","https://openalex.org/W6713134421","https://openalex.org/W6728897251","https://openalex.org/W6742396582","https://openalex.org/W6760657751","https://openalex.org/W6785459971"],"related_works":[],"abstract_inverted_index":{"The":[0,86,199],"Internet":[1],"of":[2,31,61,150,227],"Things":[3],"(IoT)":[4],"is":[5,47,144],"transforming":[6],"major":[7],"industries,":[8],"including":[9],"but":[10],"not":[11],"limited":[12],"to":[13,51,72,122,196,215,220],"healthcare,":[14],"agriculture,":[15],"finance,":[16],"energy,":[17],"and":[18,35,134,166],"transportation.":[19],"IoT":[20],"platforms":[21],"are":[22],"continually":[23],"improving":[24],"with":[25,57,239],"innovations,":[26],"such":[27,63,82],"as":[28,64,83,177],"the":[29,41,93,114,130,148,172],"amalgamation":[30],"software-defined":[32],"networks":[33,233],"(SDNs)":[34],"network":[36,154],"function":[37],"virtualization":[38],"(NFV)":[39],"in":[40,183],"edge-cloud":[42],"interplay.":[43],"Deep":[44],"learning":[45,140],"(DL)":[46],"becoming":[48],"popular":[49],"due":[50],"its":[52],"remarkable":[53],"accuracy":[54,236],"when":[55,75],"trained":[56,76],"a":[58,103,119,124,136,151,203],"massive":[59],"amount":[60],"data":[62,81,120,128,131],"generated":[65],"by":[66,146],"IoT.":[67],"However,":[68],"DL":[69,89],"algorithms":[70,90],"tend":[71],"leak":[73],"privacy":[74,180,246],"on":[77,92,229],"highly":[78],"sensitive":[79],"crowd-sourced":[80],"medical":[84],"data.":[85],"existing":[87,197,221],"privacy-preserving":[88],"rely":[91],"traditional":[94],"server-centric":[95],"approaches":[96],"requiring":[97],"high":[98,217,240],"processing":[99],"powers.":[100],"We":[101],"propose":[102],"new":[104],"local":[105],"differentially":[106],"private":[107],"(LDP)":[108],"algorithm":[109],"named":[110,208],"LATENT":[111,117,188,214,228],"that":[112],"redesigns":[113],"training":[115],"process.":[116],"enables":[118],"owner":[121],"add":[123],"randomization":[125,164,173,200],"layer":[126],"before":[127],"leave":[129],"owners'":[132],"devices":[133],"reach":[135],"potentially":[137],"untrusted":[138],"machine":[139],"service.":[141],"This":[142],"feature":[143],"achieved":[145],"splitting":[147],"architecture":[149],"convolutional":[152,160,230],"neural":[153,232],"(CNN)":[155],"into":[156],"three":[157],"layers:":[158],"1)":[159],"module":[161,174,201],"(CNM);":[162],"2)":[163],"module;":[165],"3)":[167],"fully":[168],"connected":[169],"module.":[170],"Hence,":[171],"can":[175],"operate":[176],"an":[178,184],"NFV":[179],"preservation":[181],"service":[182],"SDN-controlled":[185],"NFV,":[186],"making":[187],"more":[189],"practical":[190],"for":[191],"IoT-driven":[192],"cloud-based":[193],"environments":[194],"compared":[195,219],"approaches.":[198],"employs":[202],"newly":[204],"proposed":[205],"LDP":[206,222],"protocol":[207],"utility":[209,218],"enhancing":[210],"randomization,":[211],"which":[212],"allows":[213],"maintain":[216],"protocols.":[223],"Our":[224],"experimental":[225],"evaluation":[226],"deep":[231],"demonstrates":[234],"excellent":[235],"(e.g.,":[237,248],"91%-96%)":[238],"model":[241],"quality":[242],"even":[243],"under":[244],"low":[245],"budgets":[247],"\u03b5":[249],"=":[250],"0.5).":[251]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":58},{"year":2024,"cited_by_count":46},{"year":2023,"cited_by_count":42},{"year":2022,"cited_by_count":36},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":13}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2019-08-13T00:00:00"}
