{"id":"https://openalex.org/W3040214162","doi":"https://doi.org/10.1109/access.2020.3006526","title":"Expectile Regression on Distributed Large-Scale Data","display_name":"Expectile Regression on Distributed Large-Scale Data","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3040214162","doi":"https://doi.org/10.1109/access.2020.3006526","mag":"3040214162"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3006526","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3006526","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09131766.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09131766.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101464114","display_name":"Aijun Hu","orcid":"https://orcid.org/0000-0001-7169-6998"},"institutions":[{"id":"https://openalex.org/I4210154851","display_name":"Hubei University of Education","ror":"https://ror.org/04f41cb79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210154851"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aijun Hu","raw_affiliation_strings":["School of Mathematics and Economics, Hubei University of Education, Wuhan, China","School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Economics, Hubei University of Education, Wuhan, China","institution_ids":["https://openalex.org/I4210154851"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053411722","display_name":"Chujin Li","orcid":"https://orcid.org/0000-0002-0969-8965"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chujin Li","raw_affiliation_strings":["School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086080556","display_name":"Jing Wu","orcid":"https://orcid.org/0000-0002-6955-2087"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wu","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101464114"],"corresponding_institution_ids":["https://openalex.org/I4210154851","https://openalex.org/I47720641"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1761,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44828059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"122270","last_page":"122280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6924624443054199},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6877440810203552},{"id":"https://openalex.org/keywords/asymptotic-distribution","display_name":"Asymptotic distribution","score":0.5595659613609314},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5584344863891602},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47302886843681335},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43635743856430054},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4247281551361084},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4212837219238281},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41964539885520935},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.41354283690452576},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3860672414302826},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32436394691467285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22973006963729858},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18353456258773804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1486707627773285},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13782453536987305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6924624443054199},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6877440810203552},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.5595659613609314},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5584344863891602},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47302886843681335},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43635743856430054},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4247281551361084},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4212837219238281},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41964539885520935},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.41354283690452576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3860672414302826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32436394691467285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22973006963729858},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18353456258773804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1486707627773285},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13782453536987305},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3006526","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3006526","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09131766.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0078e8bf6e0a4fd59be706c0f75e6cdf","is_oa":true,"landing_page_url":"https://doaj.org/article/0078e8bf6e0a4fd59be706c0f75e6cdf","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 122270-122280 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3006526","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3006526","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09131766.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321883","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53"},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"},{"id":"https://openalex.org/F4320324848","display_name":"Hubei University of Education","ror":"https://ror.org/04f41cb79"},{"id":"https://openalex.org/F4320329781","display_name":"Hubei University","ror":"https://ror.org/03a60m280"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3040214162.pdf","grobid_xml":"https://content.openalex.org/works/W3040214162.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W317954863","https://openalex.org/W1460189015","https://openalex.org/W1839685963","https://openalex.org/W1847890728","https://openalex.org/W1968172088","https://openalex.org/W1975445189","https://openalex.org/W1982545958","https://openalex.org/W1983056414","https://openalex.org/W2001203190","https://openalex.org/W2013182691","https://openalex.org/W2030339186","https://openalex.org/W2042590947","https://openalex.org/W2044551864","https://openalex.org/W2046387702","https://openalex.org/W2066888021","https://openalex.org/W2082905322","https://openalex.org/W2096904991","https://openalex.org/W2103590647","https://openalex.org/W2130062883","https://openalex.org/W2137620021","https://openalex.org/W2140041377","https://openalex.org/W2144839971","https://openalex.org/W2148087609","https://openalex.org/W2295652899","https://openalex.org/W2548728501","https://openalex.org/W2612778246","https://openalex.org/W2725831089","https://openalex.org/W2749191054","https://openalex.org/W2793933216","https://openalex.org/W2921467752","https://openalex.org/W2962696932","https://openalex.org/W2963798770","https://openalex.org/W2964231067","https://openalex.org/W2982564320","https://openalex.org/W4237576003","https://openalex.org/W4241653265","https://openalex.org/W4292363360","https://openalex.org/W4399650129","https://openalex.org/W6638751554","https://openalex.org/W6638823699","https://openalex.org/W6676540010","https://openalex.org/W6679314259","https://openalex.org/W6681545434","https://openalex.org/W6760784214"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W2015759683","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W1511751337","https://openalex.org/W2899018032","https://openalex.org/W4248009324"],"abstract_inverted_index":{"Large-scale":[0],"data":[1,6,18,36],"presents":[2],"great":[3],"challenges":[4,33],"to":[5,9,30,81,96],"analysis":[7,127],"due":[8],"the":[10,16,32,45,52,60,63,76,87,91,98,107,110,114,119,129],"limited":[11],"computer":[12],"storage":[13],"capacity":[14],"and":[15,43,109,117,125],"heterogeneous":[17],"structure.":[19],"In":[20],"this":[21],"article,":[22],"we":[23,105],"propose":[24],"a":[25,39],"distributed":[26],"expectile":[27],"regression":[28],"model":[29],"resolve":[31],"of":[34,51,62,74,113],"large-scale":[35],"by":[37,122],"designing":[38],"surrogate":[40],"loss":[41],"function":[42],"using":[44],"Iterative":[46],"Local":[47],"Alternating":[48],"Direction":[49],"Method":[50],"Multipliers":[53],"(IL-ADMM)":[54],"algorithm,":[55],"which":[56],"is":[57],"developed":[58],"for":[59],"calculation":[61],"proposed":[64,77,115],"estimator.":[65],"To":[66],"obtain":[67],"nice":[68],"performance":[69],"only":[70,79,95],"after":[71],"fewer":[72],"rounds":[73],"communications,":[75],"method":[78],"needs":[80],"solve":[82],"an":[83],"M-estimation":[84],"problem":[85],"on":[86,101,128],"master":[88],"machine":[89],"while":[90],"other":[92],"working":[93],"machines":[94],"compute":[97],"gradients":[99],"based":[100],"local":[102],"data.":[103,131],"Moreover,":[104],"show":[106],"consistency":[108],"asymptotic":[111],"normality":[112],"estimator,":[116],"illustrate":[118],"efficient":[120],"proof":[121],"numerical":[123],"simulations":[124],"positive":[126],"superconductor":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}