{"id":"https://openalex.org/W3157377412","doi":"https://doi.org/10.1109/access.2021.3074629","title":"Distributed Ordinal Regression Over Networks","display_name":"Distributed Ordinal Regression Over Networks","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3157377412","doi":"https://doi.org/10.1109/access.2021.3074629","mag":"3157377412"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3074629","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3074629","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09410214.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/ielx7/6287639/9312710/09410214.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100338862","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0001-5035-0330"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huan Liu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5035-0330","affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037217207","display_name":"Jiankai Tu","orcid":"https://orcid.org/0000-0002-5082-7300"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiankai Tu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5082-7300","affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654349","display_name":"Chunguang Li","orcid":"https://orcid.org/0000-0003-3147-1553"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunguang Li","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3147-1553","affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100338862"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.194,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46837425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"9","issue":null,"first_page":"62493","last_page":"62504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9836999773979187,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9836999773979187,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9786999821662903,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9782000184059143,"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/ordinal-regression","display_name":"Ordinal regression","score":0.82230144739151},{"id":"https://openalex.org/keywords/ordinal-optimization","display_name":"Ordinal optimization","score":0.7719584703445435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.73345947265625},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5674654841423035},{"id":"https://openalex.org/keywords/ordered-logit","display_name":"Ordered logit","score":0.5424824357032776},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.5177485346794128},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42119327187538147},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3710985779762268},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24148714542388916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1925410032272339}],"concepts":[{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.82230144739151},{"id":"https://openalex.org/C81386100","wikidata":"https://www.wikidata.org/wiki/Q7100792","display_name":"Ordinal optimization","level":3,"score":0.7719584703445435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73345947265625},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5674654841423035},{"id":"https://openalex.org/C87227347","wikidata":"https://www.wikidata.org/wiki/Q7100713","display_name":"Ordered logit","level":2,"score":0.5424824357032776},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.5177485346794128},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42119327187538147},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3710985779762268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24148714542388916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1925410032272339},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3074629","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3074629","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09410214.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:b1deba4adb7d461a91c3a1fd4a7a471b","is_oa":true,"landing_page_url":"https://doaj.org/article/b1deba4adb7d461a91c3a1fd4a7a471b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 9, Pp 62493-62504 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3074629","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3074629","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09410214.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":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G4140924936","display_name":null,"funder_award_id":"61631003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5155806038","display_name":null,"funder_award_id":"2018YFE0125400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6596266309","display_name":null,"funder_award_id":"2020AAA0105900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6610172906","display_name":null,"funder_award_id":"U20A20158","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3157377412.pdf","grobid_xml":"https://content.openalex.org/works/W3157377412.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W39627588","https://openalex.org/W55145144","https://openalex.org/W114517082","https://openalex.org/W192858080","https://openalex.org/W214995755","https://openalex.org/W1168872430","https://openalex.org/W1483330700","https://openalex.org/W1489442429","https://openalex.org/W1532011672","https://openalex.org/W1595743797","https://openalex.org/W1976900720","https://openalex.org/W1980896222","https://openalex.org/W1986111664","https://openalex.org/W1987208496","https://openalex.org/W1993005965","https://openalex.org/W2016778500","https://openalex.org/W2020336191","https://openalex.org/W2023508744","https://openalex.org/W2042394605","https://openalex.org/W2050643117","https://openalex.org/W2060618474","https://openalex.org/W2063035481","https://openalex.org/W2071157591","https://openalex.org/W2071715137","https://openalex.org/W2072323287","https://openalex.org/W2074796812","https://openalex.org/W2120350143","https://openalex.org/W2121820607","https://openalex.org/W2130359405","https://openalex.org/W2142575165","https://openalex.org/W2147232804","https://openalex.org/W2150414739","https://openalex.org/W2158307424","https://openalex.org/W2162086569","https://openalex.org/W2164278908","https://openalex.org/W2183679353","https://openalex.org/W2190044943","https://openalex.org/W2295905303","https://openalex.org/W2530618030","https://openalex.org/W2565338374","https://openalex.org/W2735808890","https://openalex.org/W2737354663","https://openalex.org/W2793988933","https://openalex.org/W2917903122","https://openalex.org/W2921208938","https://openalex.org/W3011144947","https://openalex.org/W3043035952","https://openalex.org/W3084161025","https://openalex.org/W3103471119","https://openalex.org/W4292363360","https://openalex.org/W6601592313","https://openalex.org/W6602227229","https://openalex.org/W6607770380","https://openalex.org/W6677823913","https://openalex.org/W6680821758"],"related_works":["https://openalex.org/W2912776266","https://openalex.org/W1539030525","https://openalex.org/W4399574212","https://openalex.org/W4390541028","https://openalex.org/W1572610764","https://openalex.org/W2280518915","https://openalex.org/W2798701209","https://openalex.org/W4300104397","https://openalex.org/W2527090382","https://openalex.org/W4296250624"],"abstract_inverted_index":{"Many":[0],"real-world":[1,165],"data":[2,55,84,185],"are":[3,34,48,56,97],"labeled":[4],"with":[5],"natural":[6],"orders,":[7],"i.e.,":[8],"ordinal":[9,28,37,94,112],"labels.":[10],"Examples":[11],"can":[12],"be":[13],"found":[14],"in":[15,52,117],"a":[16,24,62,86,104,120,135],"wide":[17],"variety":[18],"of":[19,44,61,67,152],"fields.":[20],"Ordinal":[21],"regression":[22,38,95],"is":[23,77,130,175,190],"problem":[25],"to":[26,40,72,81,85,140,177],"predict":[27],"labels":[29],"for":[30,89,110],"given":[31],"patterns.":[32],"There":[33],"specially":[35],"developed":[36],"methods":[39,96,129],"tackle":[41],"this":[42,100],"type":[43],"problems,":[45],"but":[46],"they":[47],"usually":[49],"centralized.":[50],"However,":[51],"some":[53,73],"scenarios,":[54],"collected":[57],"distributedly":[58],"by":[59],"nodes":[60,189],"network.":[63],"For":[64],"the":[65,83,92,118,142,147,150,153,171,178,184,192],"purpose":[66],"privacy":[68],"protection":[69],"or":[70,79],"due":[71],"practical":[74],"constraints,":[75],"it":[76],"difficult":[78],"impossible":[80],"transmit":[82],"fusion":[87],"center":[88],"processing.":[90],"Thus":[91],"centralized":[93,180],"inapplicable.":[98],"In":[99],"paper,":[101],"we":[102,133],"formulate":[103],"distributed":[105,111,121,155,173],"generalized":[106],"ordered":[107],"logit":[108],"model":[109],"regression.":[113],"To":[114],"estimate":[115],"parameters":[116],"model,":[119],"constrained":[122],"optimization":[123,143],"formulation":[124],"based":[125,138],"on":[126,162],"maximum":[127],"likelihood":[128],"established.":[131],"Then,":[132],"propose":[134],"projected":[136],"gradient":[137],"algorithm":[139,174,194],"solve":[141],"problem.":[144],"We":[145,157],"prove":[146],"consensus":[148],"and":[149,164],"convergence":[151],"proposed":[154,172,193],"algorithm.":[156,181],"also":[158],"conduct":[159],"numerical":[160],"simulations":[161],"synthetic":[163],"datasets.":[166],"Simulation":[167],"results":[168],"show":[169],"that":[170],"comparable":[176],"corresponding":[179],"Even":[182],"when":[183],"label":[186],"distribution":[187],"among":[188],"unbalanced,":[191],"still":[195],"has":[196],"competitive":[197],"performance.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
