{"id":"https://openalex.org/W2162761269","doi":"https://doi.org/10.1145/1791212.1791218","title":"Consensus-based distributed linear support vector machines","display_name":"Consensus-based distributed linear support vector machines","publication_year":2010,"publication_date":"2010-04-12","ids":{"openalex":"https://openalex.org/W2162761269","doi":"https://doi.org/10.1145/1791212.1791218","mag":"2162761269"},"language":"en","primary_location":{"id":"doi:10.1145/1791212.1791218","doi":"https://doi.org/10.1145/1791212.1791218","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1791212.1791218","pdf_url":null,"source":{"id":"https://openalex.org/S7407088445","display_name":"ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5055173150","display_name":"Pedro A. Forero","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pedro A. Forero","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110657082","display_name":"Alfonso Ca\u00f1o","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alfonso Cano","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026758314","display_name":"Georgios B. Giannakis","orcid":"https://orcid.org/0000-0002-0196-0260","observed_orcids":["https://orcid.org/0000-0002-0196-0260"]},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios B. Giannakis","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":11.8589,"has_fulltext":false,"cited_by_count":176,"citation_normalized_percentile":{"value":0.99378633,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.8773999810218811,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.8773999810218811,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.05730000138282776,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.020999999716877937,"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/linear-support-vector-machine","display_name":"linear support vector machine","score":0.9509999752044678},{"id":"https://openalex.org/keywords/distributed-training","display_name":"distributed training","score":0.7519999742507935},{"id":"https://openalex.org/keywords/consensus-constraints","display_name":"consensus constraints","score":0.9179999828338623},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"augmented Lagrangian method","score":0.972000002861023},{"id":"https://openalex.org/keywords/communication-overhead","display_name":"communication overhead","score":0.6940000057220459},{"id":"https://openalex.org/keywords/privacy-preserving-machine-learning","display_name":"privacy-preserving machine learning","score":0.7329999804496765},{"id":"https://openalex.org/keywords/e-learning","display_name":"online learning","score":0.8980000019073486},{"id":"https://openalex.org/keywords/network-topology","display_name":"network topology","score":0.7400000095367432}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7801969051361084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7657417058944702},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6285844445228577},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4917290508747101},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.48098433017730713},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4453088045120239},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.4412224590778351},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4376329183578491},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4258181154727936},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37810268998146057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3730657994747162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3189297318458557},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1812649965286255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14107486605644226},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09718337655067444},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1791212.1791218","doi":"https://doi.org/10.1145/1791212.1791218","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1791212.1791218","pdf_url":null,"source":{"id":"https://openalex.org/S7407088445","display_name":"ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.591.7247","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.591.7247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.umn.edu/users/alfonso/pubs/IPSN2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1232530613","display_name":null,"funder_award_id":"CCF 0830480CON 014658","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"},{"id":"https://openalex.org/G1507195607","display_name":null,"funder_award_id":"Cooperative Agreement DAAD19-01-2-0011","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G6318803592","display_name":"Theoretical Foundations for Wireless Communication Networks","funder_award_id":"0830480","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309636","display_name":"University of Minnesota","ror":"https://ror.org/03grvy078"},{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1546507958","https://openalex.org/W1555269405","https://openalex.org/W1560724230","https://openalex.org/W1603765807","https://openalex.org/W1873763122","https://openalex.org/W1907380269","https://openalex.org/W2099262739","https://openalex.org/W2108807072","https://openalex.org/W2112796928","https://openalex.org/W2117990954","https://openalex.org/W2133458583","https://openalex.org/W2133658999","https://openalex.org/W2134438999","https://openalex.org/W2136030026","https://openalex.org/W2144655069","https://openalex.org/W2148603752","https://openalex.org/W2149472588","https://openalex.org/W2159230688","https://openalex.org/W2159549127","https://openalex.org/W2595697910","https://openalex.org/W2799061466","https://openalex.org/W4230946174","https://openalex.org/W4396808206","https://openalex.org/W7014191107","https://openalex.org/W7071374342"],"related_works":["https://openalex.org/W2132291180","https://openalex.org/W7098861100","https://openalex.org/W2102451151","https://openalex.org/W2048767045","https://openalex.org/W2157247211","https://openalex.org/W2600339276","https://openalex.org/W2022561933","https://openalex.org/W138489097","https://openalex.org/W2144655069","https://openalex.org/W3197258714"],"abstract_inverted_index":{"This":[0],"paper":[1],"develops":[2],"algorithms":[3,73],"to":[4,22,132],"train":[5],"linear":[6,43],"support":[7],"vector":[8],"machines":[9],"(SVMs)":[10],"when":[11],"training":[12,72,83,114],"data":[13,129],"are":[14,74],"distributed":[15,71],"across":[16],"different":[17],"nodes":[18,134],"and":[19,96],"their":[20],"communication":[21,32],"a":[23],"centralized":[24,42],"node":[25],"is":[26,46,94,118,135],"prohibited":[27],"due":[28],"to,":[29],"for":[30,121],"example,":[31],"overhead":[33,89],"or":[34],"privacy":[35],"reasons.":[36],"To":[37],"accomplish":[38],"this":[39],"goal,":[40],"the":[41,49,61,64,67,82,91,100,103,110,113,119,133,141,144],"SVM":[44],"problem":[45],"cast":[47],"as":[48,116],"solution":[50],"of":[51,69,90,102,106,112,143],"coupled":[52],"decentralized":[53],"convex":[54],"optimization":[55],"subproblems":[56],"with":[57],"consensus":[58],"constraints":[59],"on":[60],"parameters":[62],"defining":[63],"classifier.":[65],"Using":[66],"method":[68],"multipliers,":[70],"derived":[75],"that":[76],"do":[77],"not":[78],"exchange":[79],"elements":[80],"from":[81],"set":[84],"among":[85],"nodes.":[86],"The":[87],"communications":[88],"novel":[92],"approach":[93],"fixed":[95],"fully":[97],"determined":[98,108],"by":[99,109],"topology":[101],"network":[104],"instead":[105],"being":[107],"size":[111],"sets":[115],"it":[117],"case":[120],"existing":[122],"incremental":[123],"approaches.":[124],"An":[125],"online":[126],"algorithm":[127],"where":[128],"arrive":[130],"sequentially":[131],"also":[136],"developed.":[137],"Simulated":[138],"tests":[139],"illustrate":[140],"performance":[142],"algorithms.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":27},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":17},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":9}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}