{"id":"https://openalex.org/W2985861864","doi":"https://doi.org/10.1145/3356464.3357709","title":"Asynchronous classification-based optimization","display_name":"Asynchronous classification-based optimization","publication_year":2019,"publication_date":"2019-10-13","ids":{"openalex":"https://openalex.org/W2985861864","doi":"https://doi.org/10.1145/3356464.3357709","mag":"2985861864"},"language":"en","primary_location":{"id":"doi:10.1145/3356464.3357709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356464.3357709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Conference on Distributed Artificial Intelligence","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/A5064748809","display_name":"Yu-Ren Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Ren Liu","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101594317","display_name":"Yi-Qi Hu","orcid":"https://orcid.org/0000-0002-7689-291X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Qi Hu","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103669029","display_name":"Hong Qian","orcid":"https://orcid.org/0009-0007-7563-973X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Qian","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100342263","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0002-1732-9545"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yu","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2892,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67781309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9987000226974487,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9987000226974487,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9980000257492065,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9979000091552734,"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":0.8632278442382812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7831178307533264},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.620978593826294},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.5548332333564758},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5168240666389465},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.4783993661403656},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.4531472325325012},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.44339048862457275},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.43998655676841736},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3854304552078247},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32057034969329834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12849050760269165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12779474258422852},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07074388861656189}],"concepts":[{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.8632278442382812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831178307533264},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.620978593826294},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.5548332333564758},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5168240666389465},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.4783993661403656},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.4531472325325012},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.44339048862457275},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.43998655676841736},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3854304552078247},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32057034969329834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12849050760269165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12779474258422852},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07074388861656189},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3356464.3357709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356464.3357709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Conference on Distributed Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W82518839","https://openalex.org/W149106990","https://openalex.org/W1494059615","https://openalex.org/W1540706608","https://openalex.org/W2073107347","https://openalex.org/W2110582581","https://openalex.org/W2113741278","https://openalex.org/W2131241448","https://openalex.org/W2132083787","https://openalex.org/W2138537392","https://openalex.org/W2153401898","https://openalex.org/W2414365832","https://openalex.org/W2531563875","https://openalex.org/W2559997609","https://openalex.org/W2596585349","https://openalex.org/W2604272474","https://openalex.org/W2741836813","https://openalex.org/W2962722144","https://openalex.org/W2964172739","https://openalex.org/W6684249991","https://openalex.org/W6732072922"],"related_works":["https://openalex.org/W2966297898","https://openalex.org/W2955229517","https://openalex.org/W4286899070","https://openalex.org/W4323366756","https://openalex.org/W2913271688","https://openalex.org/W4234593354","https://openalex.org/W2893302333","https://openalex.org/W4285259204","https://openalex.org/W4389775782","https://openalex.org/W3207830353"],"abstract_inverted_index":{"Asynchronous":[0],"parallelization":[1,11],"is":[2,71],"an":[3,91],"effective":[4],"way":[5],"to":[6,31,100],"accelerate":[7,101],"optimization.":[8],"While":[9],"asynchronous":[10,36,86,92,105],"can":[12,82,123,151],"destroy":[13],"the":[14,39,67,85,102,110,133],"sequential":[15],"structure":[16],"of":[17,46,94,113,136],"optimization":[18,27,45,51,54,78,97,103],"algorithms,":[19],"it":[20],"has":[21],"been":[22],"found":[23],"counter-intuitively":[24],"that":[25,66,118,149],"some":[26],"algorithms":[28],"are":[29],"proven":[30],"preserve":[32],"their":[33],"performance":[34,127],"under":[35],"parallelization,":[37],"including":[38],"stochastic":[40],"gradient":[41],"descent":[42],"for":[43,52,76],"first-order":[44],"differentiable":[47],"functions":[48,141],"and":[49,115,142],"Pareto":[50],"zeroth-order":[53,77],"in":[55,61,79,145],"binary":[56],"space.":[57],"Following":[58],"this":[59,62],"direction,":[60],"paper,":[63],"we":[64],"show":[65,117],"classification-based":[68,96],"optimization,":[69],"which":[70],"a":[72,95,125],"recently":[73],"developed":[74],"framework":[75],"continuous":[80],"space,":[81],"also":[83],"enjoy":[84],"parallelization.":[87,106],"We":[88,107],"implement":[89],"ASRacos,":[90],"version":[93],"algorithm":[98],"SRacos,":[99],"through":[104],"theoretically":[108],"provide":[109],"query":[111],"complexity":[112],"ASRacos":[114,122,150],"further":[116],"on":[119,139],"certain":[120],"conditions,":[121],"achieve":[124,152],"better":[126],"than":[128],"SRacos":[129],"even":[130],"if":[131],"using":[132],"same":[134],"number":[135],"evaluations.":[137],"Experiments":[138],"synthetic":[140],"controlling":[143],"tasks":[144],"OpenAI":[146],"Gym":[147],"demonstrate":[148],"almost":[153],"linear":[154],"speedup":[155],"while":[156],"preserving":[157],"good":[158],"solution":[159],"quality.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
