{"id":"https://openalex.org/W4394734788","doi":"https://doi.org/10.1007/s00778-024-00845-0","title":"Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems","display_name":"Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems","publication_year":2024,"publication_date":"2024-04-12","ids":{"openalex":"https://openalex.org/W4394734788","doi":"https://doi.org/10.1007/s00778-024-00845-0"},"language":"en","primary_location":{"id":"doi:10.1007/s00778-024-00845-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00778-024-00845-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00778-024-00845-0.pdf","source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00778-024-00845-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102804518","display_name":"Lijie Xu","orcid":"https://orcid.org/0009-0003-2013-4241"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CH","CN"],"is_corresponding":true,"raw_author_name":"Lijie Xu","raw_affiliation_strings":["ETH Z\u00fcrich, Z\u00fcrich, Switzerland","Institute of Software, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103213699","display_name":"Shuang Qiu","orcid":"https://orcid.org/0000-0002-9651-1061"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuang Qiu","raw_affiliation_strings":["Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002684888","display_name":"Binhang Yuan","orcid":"https://orcid.org/0000-0002-3188-2769"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Binhang Yuan","raw_affiliation_strings":["Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102918834","display_name":"Jiawei Jiang","orcid":"https://orcid.org/0000-0003-0051-0046"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Jiang","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063262952","display_name":"C\u00e9dric Renggli","orcid":"https://orcid.org/0000-0003-3271-3059"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Cedric Renggli","raw_affiliation_strings":["ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112618683","display_name":"Shaoduo Gan","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Shaoduo Gan","raw_affiliation_strings":["ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012725714","display_name":"Kaan Kara","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Kaan Kara","raw_affiliation_strings":["ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451576","display_name":"Guoliang Li","orcid":"https://orcid.org/0000-0002-1398-0621"},"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":"Guoliang Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396318","display_name":"Ji Liu","orcid":"https://orcid.org/0000-0002-0240-8881"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ji Liu","raw_affiliation_strings":["Meta, Menlo Park, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101957550","display_name":"Wentao Wu","orcid":"https://orcid.org/0000-0001-6856-3115"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wentao Wu","raw_affiliation_strings":["Microsoft Research, Washington, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Washington, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010419481","display_name":"Jieping Ye","orcid":"https://orcid.org/0000-0001-8662-5818"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jieping Ye","raw_affiliation_strings":["University of Michigan, Ann Arbor, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100383721","display_name":"Ce Zhang","orcid":"https://orcid.org/0000-0001-6789-0130"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ce Zhang","raw_affiliation_strings":["University of Chicago, Chicago, USA"],"affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, USA","institution_ids":["https://openalex.org/I40347166"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5102804518"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I35440088","https://openalex.org/I4210128818"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":1.844,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86747839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"33","issue":"5","first_page":"1231","last_page":"1255"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":1.0,"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":1.0,"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":0.9984999895095825,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9984999895095825,"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/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.8766133785247803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6772161722183228},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5879065990447998},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.5491766929626465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5334233045578003},{"id":"https://openalex.org/keywords/descent","display_name":"Descent (aeronautics)","score":0.4731513261795044},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4716816544532776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4404885470867157},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3340231776237488},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.25815829634666443},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1427823007106781},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09611836075782776}],"concepts":[{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.8766133785247803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6772161722183228},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5879065990447998},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.5491766929626465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5334233045578003},{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.4731513261795044},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4716816544532776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4404885470867157},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3340231776237488},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.25815829634666443},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1427823007106781},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09611836075782776},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00778-024-00845-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00778-024-00845-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00778-024-00845-0.pdf","source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-138666","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-138666","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s00778-024-00845-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00778-024-00845-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00778-024-00845-0.pdf","source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394734788.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1605782097","https://openalex.org/W1788418780","https://openalex.org/W1866529865","https://openalex.org/W1955857676","https://openalex.org/W2032775418","https://openalex.org/W2041912938","https://openalex.org/W2044849727","https://openalex.org/W2090850279","https://openalex.org/W2099655235","https://openalex.org/W2194775991","https://openalex.org/W2247380138","https://openalex.org/W2250384498","https://openalex.org/W2284514301","https://openalex.org/W2548695101","https://openalex.org/W2560674852","https://openalex.org/W2563724055","https://openalex.org/W2579247884","https://openalex.org/W2604519798","https://openalex.org/W2612026221","https://openalex.org/W2622662334","https://openalex.org/W2897969205","https://openalex.org/W2916281080","https://openalex.org/W2945003059","https://openalex.org/W2963433607","https://openalex.org/W2963470657","https://openalex.org/W2970971581","https://openalex.org/W3029900615","https://openalex.org/W3030051638","https://openalex.org/W3034367918","https://openalex.org/W3044177535","https://openalex.org/W3081844508","https://openalex.org/W3140576235","https://openalex.org/W3165312848","https://openalex.org/W3174739838","https://openalex.org/W3175089547","https://openalex.org/W4281810104","https://openalex.org/W4282945019","https://openalex.org/W6614148910","https://openalex.org/W6684859321","https://openalex.org/W6713134421","https://openalex.org/W6869608176"],"related_works":["https://openalex.org/W4206903459","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/W2041416246","https://openalex.org/W3096435759"],"abstract_inverted_index":{"Abstract":[0],"Modern":[1],"machine":[2],"learning":[3,38,189,209,244,282],"(ML)":[4],"systems":[5,35,39],"commonly":[6],"use":[7],"stochastic":[8],"gradient":[9],"descent":[10],"(SGD)":[11],"to":[12,23,58,74,214],"train":[13],"ML":[14,34,186,193,248],"models.":[15,245],"However,":[16],"SGD":[17,85,162,237],"relies":[18],"on":[19,44,115,275,284],"random":[20,76],"data":[21,30,55,62,77,88,103,117,144,154,297],"order":[22],"converge,":[24],"which":[25,149],"usually":[26],"requires":[27],"a":[28,139,152,165],"full":[29,54,153,166,296],"shuffle.":[31,298],"For":[32,191,207,246,280],"in-DB":[33,185,192,247],"and":[36,51,90,178,187,220,242,273,278],"deep":[37,188,208,243,281],"with":[40,205,234,249,295],"large":[41],"datasets":[42],"stored":[43],"block-addressable":[45],"secondary":[46],"storage":[47],"such":[48],"as":[49,163],"HDD":[50,277],"SSD,":[52],"this":[53,107,135],"shuffle":[56,155,167],"leads":[57],"low":[59,127,130],"I/O":[60,92],"performance\u2014the":[61],"shuffling":[63,104,118,145],"time":[64],"can":[65,150,229],"be":[66],"even":[67],"longer":[68],"than":[69,267,293],"the":[70,81,174,217,235],"training":[71],"itself,":[72],"due":[73],"massive":[75],"accesses.":[78],"To":[79,133],"balance":[80],"convergence":[82,131,159,175,232],"rate":[83,160,233],"of":[84,161,177],"(which":[86,94],"favors":[87,95],"randomness)":[89],"its":[91,181],"performance":[93,128],"sequential":[96],"access),":[97],"previous":[98],"work":[99],"has":[100],"proposed":[101],"several":[102],"strategies.":[105],"In":[106],"paper,":[108],"we":[109,137,195,211],"first":[110],"perform":[111],"an":[112],"empirical":[113],"study":[114],"existing":[116],"strategies,":[119],"showing":[120],"that":[121,228],"these":[122],"strategies":[123],"suffer":[124],"from":[125],"either":[126],"or":[129],"rate.":[132],"solve":[134],"problem,":[136],"propose":[138],"simple":[140],"but":[141],"novel":[142],"two-level":[143],"strategy":[146],"named":[147],",":[148],"avoid":[151],"while":[156],"maintaining":[157],"comparable":[158,231],"if":[164],"were":[168],"performed.":[169],"We":[170],"further":[171],"theoretically":[172],"analyze":[173],"behavior":[176],"empirically":[179],"evaluate":[180],"efficacy":[182],"in":[183],"both":[184,239,276],"systems.":[190],"systems,":[194,210,270],"integrate":[196,221],"into":[197,223],"PostgreSQL":[198],"by":[199],"introducing":[200],"three":[201],"new":[202],"physical":[203],"operators":[204],"optimizations.":[206],"extend":[212],"single-process":[213],"multi-process":[215],"for":[216,238],"parallel/distributed":[218],"environment":[219],"it":[222],"PyTorch.":[224],"Our":[225],"evaluation":[226],"shows":[227],"achieve":[230],"full-shuffle-based":[236],"linear":[240,250],"models":[241,283],"models,":[251],"is":[252,286],"1.6":[253],"$$\\times":[254,262,288],"$$":[255,263,289],"<mml:math":[256,259,264,290],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mo>\u00d7</mml:mo></mml:math>":[257,265,291],"$$-$$":[258],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mo>-</mml:mo></mml:math>":[260],"12.8":[261],"faster":[266,292],"two":[268],"state-of-the-art":[269],"Apache":[271],"MADlib":[272],"Bismarck,":[274],"SSD.":[279],"ImageNet,":[285],"1.5":[287],"PyTorch":[294]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}