{"id":"https://openalex.org/W4379255831","doi":"https://doi.org/10.48550/arxiv.2306.00256","title":"DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm","display_name":"DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4379255831","doi":"https://doi.org/10.48550/arxiv.2306.00256"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2306.00256","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.00256","pdf_url":"https://arxiv.org/pdf/2306.00256","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2306.00256","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079210794","display_name":"Lisang Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ding, Lisang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009815648","display_name":"Kexin Jin","orcid":"https://orcid.org/0000-0001-5838-0315"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Kexin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005538082","display_name":"Bicheng Ying","orcid":"https://orcid.org/0000-0002-5246-2982"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying, Bicheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092081407","display_name":"Kun Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Kun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5085908411","display_name":"Wotao Yin","orcid":"https://orcid.org/0000-0001-6697-9731"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Wotao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079210794"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.991599977016449,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9498999714851379,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/scalability","display_name":"Scalability","score":0.6889190673828125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6463274955749512},{"id":"https://openalex.org/keywords/gossip","display_name":"Gossip","score":0.5993738174438477},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5294016599655151},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.506201446056366},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5045331716537476},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.4791090488433838},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.46009108424186707},{"id":"https://openalex.org/keywords/leader-election","display_name":"Leader election","score":0.4430598020553589},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4364815354347229},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41866374015808105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41564035415649414},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36641570925712585},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3468884229660034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.316613107919693},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.237288236618042},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.20502156019210815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1680019497871399},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1246919333934784}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6889190673828125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6463274955749512},{"id":"https://openalex.org/C62989814","wikidata":"https://www.wikidata.org/wiki/Q854648","display_name":"Gossip","level":2,"score":0.5993738174438477},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5294016599655151},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.506201446056366},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5045331716537476},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.4791090488433838},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.46009108424186707},{"id":"https://openalex.org/C53480672","wikidata":"https://www.wikidata.org/wiki/Q1424189","display_name":"Leader election","level":2,"score":0.4430598020553589},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4364815354347229},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41866374015808105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41564035415649414},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36641570925712585},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3468884229660034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.316613107919693},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.237288236618042},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.20502156019210815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1680019497871399},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1246919333934784},{"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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":"pmh:oai:arXiv.org:2306.00256","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.00256","pdf_url":"https://arxiv.org/pdf/2306.00256","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"doi:10.48550/arxiv.2306.00256","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2306.00256","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2306.00256","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.00256","pdf_url":"https://arxiv.org/pdf/2306.00256","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4379255831.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4386850441","https://openalex.org/W2479311294","https://openalex.org/W2094020986","https://openalex.org/W4236832331","https://openalex.org/W12419204","https://openalex.org/W2340554994","https://openalex.org/W2484127681","https://openalex.org/W4377097986","https://openalex.org/W2761760483","https://openalex.org/W2963691535"],"abstract_inverted_index":{"Decentralized":[0],"Stochastic":[1],"Gradient":[2],"Descent":[3],"(SGD)":[4],"is":[5,110,160],"an":[6,153],"emerging":[7],"neural":[8],"network":[9],"training":[10,87],"approach":[11,78,102,173],"that":[12],"enables":[13],"multiple":[14],"agents":[15,54,137],"to":[16,30,55,174],"train":[17],"a":[18,26,40,49,104,147,171],"model":[19,44,57,74],"collaboratively":[20],"and":[21,46,66,89,97,121,152,170],"simultaneously.":[22],"Rather":[23],"than":[24,92],"using":[25],"central":[27],"parameter":[28],"server":[29],"collect":[31],"gradients":[32],"from":[33],"all":[34],"the":[35,43,63,71,80,93,184],"agents,":[36,108],"each":[37],"agent":[38],"keeps":[39],"copy":[41],"of":[42,52,73,107,136,166,186],"parameters":[45],"communicates":[47],"with":[48,125,177],"small":[50],"number":[51,106,135],"other":[53],"exchange":[56,72],"updates.":[58,75],"Their":[59],"communication,":[60],"governed":[61],"by":[62],"communication":[64,150],"topology":[65],"gossip":[67,167],"weight":[68,168],"matrices,":[69],"facilitates":[70],"The":[76],"state-of-the-art":[77,141],"uses":[79],"dynamic":[81],"one-peer":[82],"exponential-2":[83],"topology,":[84],"achieving":[85,140],"faster":[86],"times":[88],"improved":[90],"scalability":[91],"ring,":[94],"grid,":[95],"torus,":[96],"hypercube":[98],"topologies.":[99],"However,":[100],"this":[101,115,119],"requires":[103],"power-of-2":[105],"which":[109,131],"impractical":[111],"at":[112],"scale.":[113],"In":[114,143],"paper,":[116],"we":[117],"remove":[118],"restriction":[120],"propose":[122],"\\underline{D}ecentralized":[123],"\\underline{SGD}":[124],"\\underline{C}ommunication-optimal":[126],"\\underline{E}xact":[127],"\\underline{C}onsensus":[128],"\\underline{A}lgorithm":[129],"(DSGD-CECA),":[130],"works":[132],"for":[133],"any":[134],"while":[138],"still":[139],"properties.":[142],"particular,":[144],"DSGD-CECA":[145],"incurs":[146],"unit":[148],"per-iteration":[149],"overhead":[151],"$\\tilde{O}(n^3)$":[154],"transient":[155],"iteration":[156],"complexity.":[157],"Our":[158],"proof":[159],"based":[161],"on":[162],"newly":[163],"discovered":[164],"properties":[165],"matrices":[169],"novel":[172],"combine":[175],"them":[176],"DSGD's":[178],"convergence":[179],"analysis.":[180],"Numerical":[181],"experiments":[182],"show":[183],"efficiency":[185],"DSGD-CECA.":[187]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}