{"id":"https://openalex.org/W3109738316","doi":"https://doi.org/10.1109/icca51439.2020.9264316","title":"Asynchronous Stochastic Gradient Descent over Decentralized Datasets","display_name":"Asynchronous Stochastic Gradient Descent over Decentralized Datasets","publication_year":2020,"publication_date":"2020-10-09","ids":{"openalex":"https://openalex.org/W3109738316","doi":"https://doi.org/10.1109/icca51439.2020.9264316","mag":"3109738316"},"language":"en","primary_location":{"id":"doi:10.1109/icca51439.2020.9264316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca51439.2020.9264316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Control & Automation (ICCA)","raw_type":"proceedings-article"},"type":"article","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/A5080831482","display_name":"Yubo Du","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yubo Du","raw_affiliation_strings":["Department of Automation, and BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088962631","display_name":"Keyou You","orcid":"https://orcid.org/0000-0003-4355-5340"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyou You","raw_affiliation_strings":["Department of Automation, and BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018443722","display_name":"Yilin Mo","orcid":"https://orcid.org/0000-0001-7937-6737"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Mo","raw_affiliation_strings":["Department of Automation, and BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080831482"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64599151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"80","issue":null,"first_page":"216","last_page":"221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976000189781189,"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":0.9975000023841858,"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/asynchronous-communication","display_name":"Asynchronous communication","score":0.8877599239349365},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.8631529808044434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7516344785690308},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6548184156417847},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6151420474052429},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6024165749549866},{"id":"https://openalex.org/keywords/descent","display_name":"Descent (aeronautics)","score":0.468094140291214},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4341574013233185},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3391946256160736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22600626945495605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15298253297805786},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10552307963371277},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06652992963790894},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.05534571409225464}],"concepts":[{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.8877599239349365},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.8631529808044434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516344785690308},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6548184156417847},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6151420474052429},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6024165749549866},{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.468094140291214},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4341574013233185},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3391946256160736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22600626945495605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15298253297805786},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10552307963371277},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06652992963790894},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.05534571409225464},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca51439.2020.9264316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca51439.2020.9264316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Control & Automation (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1603765807","https://openalex.org/W2039321646","https://openalex.org/W2049469158","https://openalex.org/W2054104996","https://openalex.org/W2060393849","https://openalex.org/W2083842231","https://openalex.org/W2100007248","https://openalex.org/W2112796928","https://openalex.org/W2117905067","https://openalex.org/W2125993116","https://openalex.org/W2130263842","https://openalex.org/W2132737349","https://openalex.org/W2138243089","https://openalex.org/W2150102617","https://openalex.org/W2155143729","https://openalex.org/W2161305486","https://openalex.org/W2287820382","https://openalex.org/W2569020760","https://openalex.org/W2616811598","https://openalex.org/W2789243870","https://openalex.org/W2962950660","https://openalex.org/W6662929504","https://openalex.org/W6663928985","https://openalex.org/W6665801690","https://openalex.org/W6675069819","https://openalex.org/W6679393576","https://openalex.org/W6680402377","https://openalex.org/W6681875376","https://openalex.org/W6692488971","https://openalex.org/W6696100829","https://openalex.org/W6748632073"],"related_works":["https://openalex.org/W4206903459","https://openalex.org/W4283028824","https://openalex.org/W2754816816","https://openalex.org/W4366280654","https://openalex.org/W3160167280","https://openalex.org/W4231621013","https://openalex.org/W4362706668","https://openalex.org/W2015288657","https://openalex.org/W3008318776","https://openalex.org/W1977633006"],"abstract_inverted_index":{"Asynchronous":[0],"stochastic":[1,89],"gradient":[2,85,90],"descent":[3],"(ASGD)":[4],"usually":[5],"works":[6],"in":[7,11,54,105],"the":[8,35,44,48,64,99,102,106],"centralized":[9],"setting":[10],"which":[12],"workers":[13],"retrieve":[14],"data":[15],"from":[16],"a":[17,32,66],"shared":[18],"training":[19,37],"set.":[20,38],"This":[21],"paper":[22],"focuses":[23],"on":[24,92],"decentralized":[25,49,107],"scenarios":[26],"where":[27],"each":[28],"worker":[29],"only":[30],"accesses":[31],"subset":[33],"of":[34,47,101],"whole":[36],"We":[39],"find":[40],"that":[41],"due":[42],"to":[43,79],"heterogeneous":[45],"properties":[46],"setting,":[50],"ASGD":[51],"will":[52],"optimize":[53],"wrong":[55],"directions":[56],"and":[57],"thus":[58],"obtain":[59],"poor":[60],"solutions.":[61],"To":[62],"tackle":[63],"issue,":[65],"novel":[67],"algorithm":[68,104],"DASGD":[69],"is":[70,78],"proposed":[71,103],"for":[72],"above":[73],"setting.":[74,108],"Our":[75],"key":[76],"idea":[77],"form":[80],"an":[81],"asymptotically":[82],"unbiased":[83],"accurate":[84],"estimate":[86],"through":[87],"reweighting":[88],"based":[91],"importance":[93],"sampling":[94],"technique.":[95],"Numerical":[96],"results":[97],"substantiate":[98],"performance":[100]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}