{"id":"https://openalex.org/W2790048032","doi":"https://doi.org/10.1109/camsap.2017.8313176","title":"Distributed big-data optimization via block communications","display_name":"Distributed big-data optimization via block communications","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2790048032","doi":"https://doi.org/10.1109/camsap.2017.8313176","mag":"2790048032"},"language":"en","primary_location":{"id":"doi:10.1109/camsap.2017.8313176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1805.10654","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007708568","display_name":"Ivano Notarnicola","orcid":"https://orcid.org/0000-0002-9841-3684"},"institutions":[{"id":"https://openalex.org/I142910587","display_name":"University of Salento","ror":"https://ror.org/03fc1k060","country_code":"IT","type":"education","lineage":["https://openalex.org/I142910587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ivano Notarnicola","raw_affiliation_strings":["Department of Engineering, Universit\u00e1 del Salento, Leece, Italy","Department of Engineering, Universita del Salento, Lecce, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Universit\u00e1 del Salento, Leece, Italy","institution_ids":["https://openalex.org/I142910587"]},{"raw_affiliation_string":"Department of Engineering, Universita del Salento, Lecce, Italy","institution_ids":["https://openalex.org/I142910587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100672752","display_name":"Ying Sun","orcid":"https://orcid.org/0000-0002-9709-6509"},"institutions":[{"id":"https://openalex.org/I142910587","display_name":"University of Salento","ror":"https://ror.org/03fc1k060","country_code":"IT","type":"education","lineage":["https://openalex.org/I142910587"]},{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Ying Sun","raw_affiliation_strings":["Department of Engineering, Universit\u00e1 del Salento, Leece, Italy","School of Industrial Engineering, Purdue University, West Lafayette IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Universit\u00e1 del Salento, Leece, Italy","institution_ids":["https://openalex.org/I142910587"]},{"raw_affiliation_string":"School of Industrial Engineering, Purdue University, West Lafayette IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041765559","display_name":"Gesualdo Scutari","orcid":"https://orcid.org/0000-0002-6453-6870"},"institutions":[{"id":"https://openalex.org/I142910587","display_name":"University of Salento","ror":"https://ror.org/03fc1k060","country_code":"IT","type":"education","lineage":["https://openalex.org/I142910587"]},{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Gesualdo Scutari","raw_affiliation_strings":["Department of Engineering, Universit\u00e1 del Salento, Leece, Italy","School of Industrial Engineering, Purdue University, West Lafayette IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Universit\u00e1 del Salento, Leece, Italy","institution_ids":["https://openalex.org/I142910587"]},{"raw_affiliation_string":"School of Industrial Engineering, Purdue University, West Lafayette IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017893179","display_name":"Giuseppe Notarstefano","orcid":"https://orcid.org/0000-0002-0906-7848"},"institutions":[{"id":"https://openalex.org/I142910587","display_name":"University of Salento","ror":"https://ror.org/03fc1k060","country_code":"IT","type":"education","lineage":["https://openalex.org/I142910587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Notarstefano","raw_affiliation_strings":["Department of Engineering, Universit\u00e1 del Salento, Leece, Italy","Department of Engineering, Universita del Salento, Lecce, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Universit\u00e1 del Salento, Leece, Italy","institution_ids":["https://openalex.org/I142910587"]},{"raw_affiliation_string":"Department of Engineering, Universita del Salento, Lecce, Italy","institution_ids":["https://openalex.org/I142910587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33034545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"5"},"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9991999864578247,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.665353000164032},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6249743700027466},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6151788234710693},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5774123072624207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5759362578392029},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5519711375236511},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5413501262664795},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.53031986951828},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.5275282859802246},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.506995677947998},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43502914905548096},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3359803259372711},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3210391402244568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30395472049713135}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.665353000164032},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6249743700027466},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6151788234710693},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5774123072624207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5759362578392029},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5519711375236511},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5413501262664795},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.53031986951828},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.5275282859802246},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.506995677947998},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43502914905548096},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3359803259372711},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3210391402244568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30395472049713135},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/camsap.2017.8313176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1805.10654","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1805.10654","pdf_url":"https://arxiv.org/pdf/1805.10654","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"mag:2790048032","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1805.10654.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:cris.unibo.it:11585/677716","is_oa":true,"landing_page_url":"http://hdl.handle.net/11585/677716","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1805.10654","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1805.10654","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1805.10654","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1805.10654","pdf_url":"https://arxiv.org/pdf/1805.10654","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"id":"https://openalex.org/G1059919307","display_name":"CAREER:Variational Inequalities: A New Paradigm for Cognitive Network Layering","funder_award_id":"1555850","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4784054808","display_name":null,"funder_award_id":"N00014-16-1-2244","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5664334890","display_name":"CIF:Small:Collaborative Research:Distributed Fog Computing for Non-Convex Big-Data Analytics","funder_award_id":"1719205","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8065749032","display_name":"CIF: Small: Collaborative Research: Parallel Online Algorithms for Large-Scale MRI","funder_award_id":"1632599","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2790048032.pdf","grobid_xml":"https://content.openalex.org/works/W2790048032.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1979043738","https://openalex.org/W1982545958","https://openalex.org/W1997250627","https://openalex.org/W2000769684","https://openalex.org/W2013034217","https://openalex.org/W2032395696","https://openalex.org/W2058361915","https://openalex.org/W2092620240","https://openalex.org/W2095984592","https://openalex.org/W2114791779","https://openalex.org/W2117686388","https://openalex.org/W2123705108","https://openalex.org/W2137435346","https://openalex.org/W2148087609","https://openalex.org/W2154834860","https://openalex.org/W2164278908","https://openalex.org/W2266148951","https://openalex.org/W2302927762","https://openalex.org/W2341508215","https://openalex.org/W2475736732","https://openalex.org/W2553773573","https://openalex.org/W2570745209","https://openalex.org/W2579962643","https://openalex.org/W2592062427","https://openalex.org/W2888024629","https://openalex.org/W2951781666","https://openalex.org/W2962930217","https://openalex.org/W2963374044","https://openalex.org/W2963755123","https://openalex.org/W2964256184","https://openalex.org/W3101665129","https://openalex.org/W4292363360","https://openalex.org/W6678356451","https://openalex.org/W6680402377"],"related_works":["https://openalex.org/W2962916426","https://openalex.org/W3214425102","https://openalex.org/W3000735016","https://openalex.org/W2568350243","https://openalex.org/W3187215083","https://openalex.org/W2980370680","https://openalex.org/W2782970803","https://openalex.org/W2809527346","https://openalex.org/W2155356457","https://openalex.org/W3164191184","https://openalex.org/W3089973649","https://openalex.org/W2736005225","https://openalex.org/W1557218204","https://openalex.org/W3012167081","https://openalex.org/W2505403328","https://openalex.org/W2885209016","https://openalex.org/W2612356425","https://openalex.org/W3204980051","https://openalex.org/W3028531410","https://openalex.org/W2080467172"],"abstract_inverted_index":{"We":[0,24],"study":[1],"distributed":[2,62],"multi-agent":[3],"large-scale":[4],"optimization":[5,33],"problems,":[6],"wherein":[7],"the":[8,26,29,32,42,60,86,89,103,106,115,128,131,135,138],"cost":[9],"function":[10],"is":[11,35,118],"composed":[12],"of":[13,31,45,72,88,105,114,130,137],"a":[14,20,70,94,123],"smooth":[15],"possibly":[16],"nonconvex":[17,116],"sum-utility":[18],"plus":[19],"DC":[21],"(Difference-of-Convex)":[22],"regularizer.":[23],"consider":[25],"scenario":[27],"where":[28],"dimension":[30],"variables":[34,46],"so":[36],"large":[37],"that":[38],"optimizing":[39],"and/or":[40],"transmitting":[41],"entire":[43],"set":[44],"could":[47],"cause":[48],"unaffordable":[49],"computation":[50],"and":[51,67,134,146],"communication":[52,147],"overhead.":[53],"To":[54],"address":[55],"this":[56],"issue,":[57],"we":[58],"propose":[59],"first":[61],"algorithm":[63,133],"whereby":[64],"agents":[65],"optimize":[66],"communicate":[68],"only":[69],"portion":[71],"their":[73],"local":[74],"variables.":[75],"The":[76],"scheme":[77],"hinges":[78],"on":[79,122,141],"successive":[80],"convex":[81],"approximation":[82],"(SCA)":[83],"to":[84,111],"handle":[85],"nonconvexity":[87],"objective":[90],"function,":[91],"coupled":[92],"with":[93],"novel":[95],"block-signal":[96],"tracking":[97],"scheme,":[98],"aiming":[99],"at":[100],"locally":[101],"estimating":[102],"average":[104],"agents'":[107],"gradients.":[108],"Asymptotic":[109],"convergence":[110,144],"stationary":[112],"solutions":[113],"problem":[117,126],"established.":[119],"Numerical":[120],"results":[121],"sparse":[124],"regression":[125],"show":[127],"effectiveness":[129],"proposed":[132],"impact":[136],"block":[139],"size":[140],"its":[142],"practical":[143],"speed":[145],"cost.":[148]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
