{"id":"https://openalex.org/W4387616541","doi":"https://doi.org/10.1186/s40537-023-00829-x","title":"From distributed machine to distributed deep learning: a comprehensive survey","display_name":"From distributed machine to distributed deep learning: a comprehensive survey","publication_year":2023,"publication_date":"2023-10-13","ids":{"openalex":"https://openalex.org/W4387616541","doi":"https://doi.org/10.1186/s40537-023-00829-x"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-023-00829-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00829-x","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00829-x","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00829-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031888985","display_name":"Mohammad Dehghani","orcid":"https://orcid.org/0000-0003-0588-4151"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad Dehghani","raw_affiliation_strings":["University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092088406","display_name":"Zahra Yazdanparast","orcid":"https://orcid.org/0009-0000-2312-926X"},"institutions":[{"id":"https://openalex.org/I1516879","display_name":"Tarbiat Modares University","ror":"https://ror.org/03mwgfy56","country_code":"IR","type":"education","lineage":["https://openalex.org/I1516879"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Zahra Yazdanparast","raw_affiliation_strings":["Tarbiat Modares University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tarbiat Modares University, Tehran, Iran","institution_ids":["https://openalex.org/I1516879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031888985"],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":{"value":1990,"currency":"USD","value_usd":1990},"apc_paid":{"value":1990,"currency":"USD","value_usd":1990},"fwci":4.2277,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94975384,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"10","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9994000196456909,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9994000196456909,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9973000288009644,"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/computer-science","display_name":"Computer science","score":0.8690056800842285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7335199117660522},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7183725833892822},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5173772573471069},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5171955823898315},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.47132137417793274},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.46125328540802}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8690056800842285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7335199117660522},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7183725833892822},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5173772573471069},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5171955823898315},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.47132137417793274},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.46125328540802},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-023-00829-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00829-x","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00829-x","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7f64f949ef584912b7ee42fe04d44919","is_oa":true,"landing_page_url":"https://doaj.org/article/7f64f949ef584912b7ee42fe04d44919","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 10, Iss 1, Pp 1-21 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-023-00829-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00829-x","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00829-x","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387616541.pdf"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W10152071","https://openalex.org/W129185443","https://openalex.org/W150939725","https://openalex.org/W630206999","https://openalex.org/W1587454308","https://openalex.org/W1963611305","https://openalex.org/W1967358196","https://openalex.org/W1985652928","https://openalex.org/W2009332171","https://openalex.org/W2055705416","https://openalex.org/W2076063813","https://openalex.org/W2089372326","https://openalex.org/W2099822495","https://openalex.org/W2112076978","https://openalex.org/W2123504579","https://openalex.org/W2144655069","https://openalex.org/W2150773524","https://openalex.org/W2160403361","https://openalex.org/W2260756217","https://openalex.org/W2293710996","https://openalex.org/W2617411258","https://openalex.org/W2618530766","https://openalex.org/W2749604329","https://openalex.org/W2783521339","https://openalex.org/W2786036274","https://openalex.org/W2787299084","https://openalex.org/W2799414856","https://openalex.org/W2890793284","https://openalex.org/W2899161953","https://openalex.org/W2900182564","https://openalex.org/W2906007643","https://openalex.org/W2951781666","https://openalex.org/W2963174546","https://openalex.org/W2963358710","https://openalex.org/W2963390885","https://openalex.org/W2969388332","https://openalex.org/W2971565213","https://openalex.org/W2972087877","https://openalex.org/W2989512989","https://openalex.org/W3004495293","https://openalex.org/W3012125688","https://openalex.org/W3036703963","https://openalex.org/W3044981912","https://openalex.org/W3046021105","https://openalex.org/W3088162569","https://openalex.org/W3102606411","https://openalex.org/W3111993935","https://openalex.org/W3125012172","https://openalex.org/W3135028703","https://openalex.org/W3136021864","https://openalex.org/W3143471131","https://openalex.org/W3149084432","https://openalex.org/W3153990350","https://openalex.org/W3155739706","https://openalex.org/W3161970973","https://openalex.org/W3174893796","https://openalex.org/W4200593593","https://openalex.org/W4211055935","https://openalex.org/W4214513907","https://openalex.org/W4224048112","https://openalex.org/W4224994116","https://openalex.org/W4282970321","https://openalex.org/W4282977103","https://openalex.org/W4287887905","https://openalex.org/W4311273571","https://openalex.org/W4317618147","https://openalex.org/W4320169918","https://openalex.org/W4362585997","https://openalex.org/W4362602778","https://openalex.org/W4366382560","https://openalex.org/W4378979503","https://openalex.org/W6662929504","https://openalex.org/W6684859321","https://openalex.org/W6796909790","https://openalex.org/W6797086287"],"related_works":["https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W4380318855","https://openalex.org/W2138720691","https://openalex.org/W2031695474","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W20361778","https://openalex.org/W2024136090","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Abstract":[0],"Artificial":[1],"intelligence":[2],"has":[3,62,76,116],"made":[4],"remarkable":[5],"progress":[6],"in":[7,14,99,120,156],"handling":[8],"complex":[9,30],"tasks,":[10],"thanks":[11],"to":[12,22],"advances":[13],"hardware":[15],"acceleration":[16],"and":[17,27,48,70,87,101,108,123],"machine":[18,60,84,104],"learning":[19,61,85,107,111,115],"algorithms.":[20],"However,":[21],"acquire":[23],"more":[24,29,37,118],"accurate":[25],"outcomes":[26],"solve":[28],"issues,":[31,58],"algorithms":[32,98],"should":[33,153],"be":[34,46,154],"trained":[35],"with":[36],"data.":[38],"Processing":[39],"this":[40,131,138],"huge":[41],"amount":[42],"of":[43,53,125,144],"data":[44,69],"could":[45],"time-consuming":[47],"require":[49],"a":[50],"great":[51],"deal":[52],"computation.":[54],"To":[55],"address":[56],"these":[57,97],"distributed":[59,83],"been":[63,77,91],"proposed,":[64],"which":[65],"involves":[66],"distributing":[67],"the":[68,126,142,145,150],"algorithm":[71],"across":[72],"several":[73],"machines.":[74],"There":[75],"considerable":[78],"effort":[79],"put":[80],"into":[81],"developing":[82],"algorithms,":[86,147],"different":[88],"methods":[89],"have":[90,128],"proposed":[92],"so":[93],"far.":[94],"We":[95],"divide":[96],"classification":[100],"clustering":[102],"(traditional":[103],"learning),":[105],"deep":[106,109,114],"reinforcement":[110],"groups.":[112],"Distributed":[113],"gained":[117],"attention":[119],"recent":[121],"years":[122],"most":[124],"studies":[127],"focused":[129],"on":[130,137,141],"approach.":[132],"Therefore,":[133],"we":[134,148],"mostly":[135],"concentrate":[136],"category.":[139],"Based":[140],"investigation":[143],"mentioned":[146],"highlighted":[149],"limitations":[151],"that":[152],"addressed":[155],"future":[157],"research.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
