{"id":"https://openalex.org/W4408325396","doi":"https://doi.org/10.1109/globecom52923.2024.10901359","title":"DM-SARAH: A Variance Reduction Optimization Algorithm for Machine Learning Systems","display_name":"DM-SARAH: A Variance Reduction Optimization Algorithm for Machine Learning Systems","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4408325396","doi":"https://doi.org/10.1109/globecom52923.2024.10901359"},"language":"en","primary_location":{"id":"doi:10.1109/globecom52923.2024.10901359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064453711","display_name":"Rengang Li","orcid":"https://orcid.org/0000-0002-4297-4335"},"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":"Rengang Li","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102768584","display_name":"Ruidong Yan","orcid":"https://orcid.org/0000-0002-4825-5673"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruidong Yan","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd,Beijing,China","institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091834117","display_name":"Zhenhua Guo","orcid":"https://orcid.org/0000-0002-8201-0864"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Guo","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd,Beijing,China","institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101585636","display_name":"Zhiyong Qiu","orcid":"https://orcid.org/0000-0001-9628-5351"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Qiu","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd,Beijing,China","institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101568187","display_name":"Yaqian Zhao","orcid":"https://orcid.org/0000-0002-9170-0090"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqian Zhao","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd,Beijing,China","institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642505","display_name":"Yanwei Wang","orcid":"https://orcid.org/0000-0002-8488-9833"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Wang","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd,Beijing,China","institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4872","last_page":"4877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8141999840736389,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8141999840736389,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.8095999956130981,"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/T10320","display_name":"Neural Networks and Applications","score":0.8061000108718872,"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/computer-science","display_name":"Computer science","score":0.6673519611358643},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6470271348953247},{"id":"https://openalex.org/keywords/variance-reduction","display_name":"Variance reduction","score":0.6380974054336548},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5053263306617737},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4744728207588196},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4443241059780121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42643195390701294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4168388247489929},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.254280149936676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15713685750961304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6673519611358643},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6470271348953247},{"id":"https://openalex.org/C62644790","wikidata":"https://www.wikidata.org/wiki/Q3454689","display_name":"Variance reduction","level":3,"score":0.6380974054336548},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5053263306617737},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4744728207588196},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4443241059780121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42643195390701294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4168388247489929},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.254280149936676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15713685750961304},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom52923.2024.10901359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1994616650","https://openalex.org/W3005728424","https://openalex.org/W3086762633","https://openalex.org/W6675761068","https://openalex.org/W6705002163","https://openalex.org/W6734509502","https://openalex.org/W6738699237","https://openalex.org/W6747272838","https://openalex.org/W6765940612","https://openalex.org/W6766844478"],"related_works":["https://openalex.org/W2111181341","https://openalex.org/W2886060011","https://openalex.org/W2169816622","https://openalex.org/W2298254442","https://openalex.org/W1997242758","https://openalex.org/W2169367269","https://openalex.org/W2951368390","https://openalex.org/W2291558465","https://openalex.org/W1981992409","https://openalex.org/W2067529449"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,10,63,80,85,98,103,108,119],"variance":[2],"reduction":[3],"(VR)":[4],"technique":[5],"is":[6],"used":[7],"to":[8,61],"improve":[9],"performance":[11],"of":[12,73,93,107],"gradient-type":[13],"algorithms":[14,25],"in":[15],"machine":[16],"learning":[17],"and":[18,35,65,88,95,105],"deep":[19],"learning.":[20],"However,":[21],"some":[22],"existing":[23,123],"VR":[24],"require":[26],"unrealistic":[27],"assumptions":[28,58],"or":[29,59],"conditions":[30,60],"such":[31],"as":[32],"\u03c4-gradient":[33],"dominated":[34],"Polyak-Lojasiewicz":[36],"(PL)":[37],"conditions,":[38],"which":[39],"limit":[40],"their":[41],"applications.":[42],"In":[43],"this":[44,74],"paper,":[45],"we":[46,83,101],"present":[47],"a":[48,90],"Double":[49],"Mini-batch":[50],"StochAstic":[51],"Recursive":[52],"grAdient":[53],"algoritHm":[54],"(DM-SARAH)":[55],"without":[56],"these":[57],"solve":[62],"convex":[64],"non-convex":[66],"optimization":[67],"problems":[68],"respectively.":[69],"The":[70,114],"main":[71],"contributions":[72],"paper":[75],"are":[76],"twofold:":[77],"(1)":[78],"At":[79,97],"theoretical":[81],"level,":[82,100],"optimize":[84],"convergence":[86],"rate":[87],"provide":[89],"complexity":[91],"analysis":[92],"DM-SARAH,":[94],"(2)":[96],"experimental":[99,115],"evaluate":[102],"effectiveness":[104],"efficiency":[106],"proposed":[109,120],"algorithm":[110,121],"on":[111],"various":[112],"datasets.":[113],"results":[116],"indicate":[117],"that":[118],"outperforms":[122],"methods.":[124]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
