{"id":"https://openalex.org/W3021874845","doi":"https://doi.org/10.1109/ciss48834.2020.1570627384","title":"Communication Efficient Framework for Decentralized Machine Learning","display_name":"Communication Efficient Framework for Decentralized Machine Learning","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3021874845","doi":"https://doi.org/10.1109/ciss48834.2020.1570627384","mag":"3021874845"},"language":"en","primary_location":{"id":"doi:10.1109/ciss48834.2020.1570627384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss48834.2020.1570627384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Communication_Efficient_Framework_for_Decentralized_Machine_Learning/20699962","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030170070","display_name":"Anis Elgabli","orcid":"https://orcid.org/0000-0001-5012-2370"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Anis Elgabli","raw_affiliation_strings":["University of Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027907258","display_name":"Jihong Park","orcid":"https://orcid.org/0000-0001-7623-6552"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jihong Park","raw_affiliation_strings":["University of Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039563144","display_name":"Amrit Singh Bedi","orcid":"https://orcid.org/0000-0002-8807-2695"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amrit S. Bedi","raw_affiliation_strings":["Army Research Lab, USA"],"affiliations":[{"raw_affiliation_string":"Army Research Lab, USA","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061429095","display_name":"Mehdi Bennis","orcid":"https://orcid.org/0000-0003-0261-0171"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mehdi Bennis","raw_affiliation_strings":["University of Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064822688","display_name":"Vaneet Aggarwal","orcid":"https://orcid.org/0000-0001-9131-4723"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Vaneet Aggarwal","raw_affiliation_strings":["Purdue University, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030170070"],"corresponding_institution_ids":["https://openalex.org/I98381234"],"apc_list":null,"apc_paid":null,"fwci":1.6236,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87131855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9994999766349792,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9987000226974487,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7377371788024902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3600292205810547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377371788024902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3600292205810547}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ciss48834.2020.1570627384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss48834.2020.1570627384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30139694","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20699962","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Communication_Efficient_Framework_for_Decentralized_Machine_Learning/20699962","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:oulu.fi:nbnfi-fe2020100277669","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2020100277669","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20699962","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Communication_Efficient_Framework_for_Decentralized_Machine_Learning/20699962","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1627780903","https://openalex.org/W1837707729","https://openalex.org/W1988795359","https://openalex.org/W2044212084","https://openalex.org/W2045079045","https://openalex.org/W2092620240","https://openalex.org/W2127941149","https://openalex.org/W2129122308","https://openalex.org/W2130758224","https://openalex.org/W2137435346","https://openalex.org/W2142535891","https://openalex.org/W2143021454","https://openalex.org/W2148087609","https://openalex.org/W2164278908","https://openalex.org/W2168231600","https://openalex.org/W2199097987","https://openalex.org/W2244987555","https://openalex.org/W2276974598","https://openalex.org/W2277973662","https://openalex.org/W2405727896","https://openalex.org/W2541884796","https://openalex.org/W2547352193","https://openalex.org/W2571425027","https://openalex.org/W2807548807","https://openalex.org/W2903471046","https://openalex.org/W2912682655","https://openalex.org/W2937905591","https://openalex.org/W2950346378","https://openalex.org/W2962696932","https://openalex.org/W2962771678","https://openalex.org/W2963156201","https://openalex.org/W2963318081","https://openalex.org/W2963773265","https://openalex.org/W2963861706","https://openalex.org/W2964231067","https://openalex.org/W2971667645","https://openalex.org/W2976576452","https://openalex.org/W2979359324","https://openalex.org/W3101665129","https://openalex.org/W3104398353","https://openalex.org/W3120740533","https://openalex.org/W4292363360","https://openalex.org/W4318619660","https://openalex.org/W6679154944","https://openalex.org/W6681283895","https://openalex.org/W6684859321","https://openalex.org/W6728757088","https://openalex.org/W6728975057","https://openalex.org/W6729806161","https://openalex.org/W6751961731","https://openalex.org/W6752422486","https://openalex.org/W6753874900","https://openalex.org/W6757139170","https://openalex.org/W6767834040"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2093578348","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2049775471","https://openalex.org/W2350741829","https://openalex.org/W3004735627"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,48,83,87],"fast,":[6],"privacy-aware,":[7],"and":[8,112,119,134,139,145],"communication-efficient":[9,121,125],"decentralized":[10,49],"framework":[11],"to":[12],"solve":[13],"the":[14,26,38,45,56,60,72,103,123,129],"distributed":[15],"machine":[16],"learning":[17],"(DML)":[18],"problem.":[19],"The":[20,34],"proposed":[21,39],"algorithm":[22,40],"is":[23,41],"based":[24],"on":[25,143],"Alternating":[27],"Direction":[28],"Method":[29],"of":[30,55,90],"Multipliers":[31],"(ADMM)":[32],"algorithm.":[33],"key":[35],"novelty":[36],"in":[37,47,93,137],"that":[42,98,115],"it":[43,116],"solves":[44],"problem":[46],"topology":[50],"where":[51],"at":[52,64],"most":[53],"half":[54],"workers":[57],"are":[58],"competing":[59],"limited":[61],"communication":[62,91],"resources":[63],"any":[65],"given":[66],"time.":[67],"Moreover,":[68],"each":[69,94],"worker":[70],"exchanges":[71],"locally":[73],"trained":[74],"model":[75,85],"only":[76],"with":[77,86],"two":[78],"neighboring":[79],"workers,":[80],"thereby":[81],"training":[82],"global":[84],"lower":[88],"amount":[89],"overhead":[92],"exchange.":[95],"We":[96],"prove":[97],"GADMM":[99],"converges":[100,117],"faster":[101,118],"than":[102,122],"centralized":[104],"batch":[105],"gradient":[106],"descent":[107],"for":[108],"convex":[109],"loss":[110],"functions,":[111],"numerically":[113],"show":[114],"more":[120],"state-of-the-art":[124],"algorithms":[126],"such":[127],"as":[128],"Lazily":[130],"Aggregated":[131],"Gradient":[132],"(LAG)":[133],"dual":[135],"averaging,":[136],"linear":[138],"logistic":[140],"regression":[141],"tasks":[142],"synthetic":[144],"real":[146],"datasets.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
