{"id":"https://openalex.org/W4285386343","doi":"https://doi.org/10.1080/03610918.2022.2098331","title":"Efficient distributed optimization for large-scale high-dimensional sparse penalized Huber regression","display_name":"Efficient distributed optimization for large-scale high-dimensional sparse penalized Huber regression","publication_year":2022,"publication_date":"2022-07-14","ids":{"openalex":"https://openalex.org/W4285386343","doi":"https://doi.org/10.1080/03610918.2022.2098331"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2098331","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2098331","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5084788149","display_name":"Yingli Pan","orcid":"https://orcid.org/0000-0002-5033-7301"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingli Pan","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101368845","display_name":"Kaidong Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaidong Xu","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769354","display_name":"Sha Wei","orcid":"https://orcid.org/0000-0002-8542-6224"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sha Wei","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101528013","display_name":"Xiaojuan Wang","orcid":"https://orcid.org/0000-0003-1127-0252"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojuan Wang","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087893744","display_name":"Zhan Liu","orcid":"https://orcid.org/0000-0001-6530-6201"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhan Liu","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087893744"],"corresponding_institution_ids":["https://openalex.org/I75900474"],"apc_list":null,"apc_paid":null,"fwci":0.4863,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65287924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"53","issue":"7","first_page":"3106","last_page":"3125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"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/T11205","display_name":"Numerical methods in inverse problems","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.6749051809310913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6610575914382935},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6177597045898438},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5824283957481384},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5490204095840454},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5081119537353516},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4866207540035248},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46297237277030945},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4110930860042572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35595765709877014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3086784780025482},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15153446793556213}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6749051809310913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6610575914382935},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6177597045898438},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5824283957481384},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5490204095840454},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5081119537353516},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4866207540035248},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46297237277030945},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4110930860042572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35595765709877014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3086784780025482},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15153446793556213},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2022.2098331","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2098331","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1518479949","https://openalex.org/W1694091468","https://openalex.org/W2020925091","https://openalex.org/W2022090913","https://openalex.org/W2022115022","https://openalex.org/W2026517977","https://openalex.org/W2045079045","https://openalex.org/W2050551672","https://openalex.org/W2054435707","https://openalex.org/W2056145308","https://openalex.org/W2065742895","https://openalex.org/W2074682976","https://openalex.org/W2108475251","https://openalex.org/W2125390510","https://openalex.org/W2135046866","https://openalex.org/W2144839971","https://openalex.org/W2166706236","https://openalex.org/W2232588526","https://openalex.org/W2238591594","https://openalex.org/W2726134516","https://openalex.org/W2896398456","https://openalex.org/W2962696932","https://openalex.org/W2963126228","https://openalex.org/W2964231067","https://openalex.org/W3035663991","https://openalex.org/W3103741939","https://openalex.org/W4292363360","https://openalex.org/W6684249991"],"related_works":["https://openalex.org/W1506216622","https://openalex.org/W3107474891","https://openalex.org/W2211820962","https://openalex.org/W1558456818","https://openalex.org/W2020478166","https://openalex.org/W2330172022","https://openalex.org/W1987033902","https://openalex.org/W4300497634","https://openalex.org/W2952890140","https://openalex.org/W2811224217"],"abstract_inverted_index":{"This":[0],"paper":[1],"provides":[2],"a":[3,66,71,139],"new":[4],"perspective":[5],"for":[6],"robust":[7],"estimation":[8,95],"and":[9,79,141],"inference":[10],"methods":[11],"based":[12,86],"on":[13,87],"Huber":[14,50],"regression.":[15,51],"An":[16],"efficient":[17],"distributed":[18],"learning":[19],"with":[20],"sparsity":[21],"is":[22,58],"proposed,":[23],"in":[24,107,135],"which":[25],"the":[26,36,47,56,94,104,118,136],"observations":[27],"are":[28,114],"randomly":[29],"divided":[30],"among":[31],"different":[32],"machines.":[33],"We":[34],"modify":[35],"proximal":[37],"alternating":[38],"direction":[39],"method":[40,99,106,131],"of":[41,55,92,97,103,110,121,138],"multiplies":[42],"(ADMM)":[43],"algorithm":[44,57],"to":[45,69,83,101,116],"calculate":[46,84],"sparse":[48],"penalized":[49,76],"The":[52,125],"convergence":[53],"property":[54],"established.":[59],"Computationally,":[60],"our":[61,98,122,130],"proposed":[62,123],"approach":[63],"requires":[64],"only":[65],"central":[67],"machine":[68],"solve":[70],"SCAD":[72],"or":[73],"adaptive":[74],"lasso":[75],"M-estimation":[77],"problem,":[78],"other":[80],"node":[81],"machines":[82],"gradients":[85],"local":[88],"datasets.":[89],"In":[90],"terms":[91],"communication,":[93],"error":[96],"decreases":[100],"that":[102,129],"centralized":[105],"several":[108],"rounds":[109],"communication.":[111],"Simulation":[112],"studies":[113],"conducted":[115],"evaluate":[117],"finite-sample":[119],"performance":[120],"method.":[124],"empirical":[126],"study":[127],"shows":[128],"has":[132],"good":[133],"practicability":[134],"practice":[137],"Communities":[140],"Crime":[142],"analysis.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
