{"id":"https://openalex.org/W4401455191","doi":"https://doi.org/10.1145/3677333.3678158","title":"A Distributed Particle Swarm Optimization Algorithm Based on Apache Spark for Asynchronous Parallel Training of Deep Neural Networks","display_name":"A Distributed Particle Swarm Optimization Algorithm Based on Apache Spark for Asynchronous Parallel Training of Deep Neural Networks","publication_year":2024,"publication_date":"2024-08-09","ids":{"openalex":"https://openalex.org/W4401455191","doi":"https://doi.org/10.1145/3677333.3678158"},"language":"en","primary_location":{"id":"doi:10.1145/3677333.3678158","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3677333.3678158","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 53rd International Conference on Parallel Processing Workshops","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3677333.3678158","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041564738","display_name":"Manuel I. Capel","orcid":"https://orcid.org/0000-0003-2449-4394"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Manuel I. Capel","raw_affiliation_strings":["Software Engineering Department, University of Granada, Spain"],"raw_orcid":"https://orcid.org/0000-0003-2449-4394","affiliations":[{"raw_affiliation_string":"Software Engineering Department, University of Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002261290","display_name":"Juan A. Holgado-Terriza","orcid":"https://orcid.org/0000-0002-8031-1276"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan A. Holgado-Terriza","raw_affiliation_strings":["Software Engineering Department, University of Granada, Spain"],"raw_orcid":"https://orcid.org/0000-0002-8031-1276","affiliations":[{"raw_affiliation_string":"Software Engineering Department, University of Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052106101","display_name":"Sergio Galiana","orcid":"https://orcid.org/0000-0003-0744-0204"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Sergio Galiana-Velasco","raw_affiliation_strings":["Software Engineering Department, University of Granada, Spain"],"raw_orcid":"https://orcid.org/0000-0003-0744-0204","affiliations":[{"raw_affiliation_string":"Software Engineering Department, University of Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073657163","display_name":"Alberto Salguero","orcid":"https://orcid.org/0000-0001-9221-7351"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alberto G. Salguero","raw_affiliation_strings":["Department of Computer Science and Programming Languages, University of M\u00e1laga, Spain"],"raw_orcid":"https://orcid.org/0000-0001-9221-7351","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Programming Languages, University of M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10224213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"76","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9970999956130981,"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":0.989300012588501,"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":0.7898404598236084},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7880035638809204},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.7766050100326538},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.7229961156845093},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6599643230438232},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6215395331382751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4277513027191162},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.36738020181655884},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3656603991985321},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29600241780281067},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12094184756278992}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7898404598236084},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7880035638809204},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7766050100326538},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.7229961156845093},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6599643230438232},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6215395331382751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4277513027191162},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.36738020181655884},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3656603991985321},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29600241780281067},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12094184756278992},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3677333.3678158","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3677333.3678158","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 53rd International Conference on Parallel Processing Workshops","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3677333.3678158","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3677333.3678158","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 53rd International Conference on Parallel Processing Workshops","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2084919566","https://openalex.org/W2152195021","https://openalex.org/W2329722756","https://openalex.org/W2970971581","https://openalex.org/W2990824961","https://openalex.org/W3001932206","https://openalex.org/W3004780809","https://openalex.org/W3177544440","https://openalex.org/W4205129187","https://openalex.org/W4367360025","https://openalex.org/W4396690595","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2116677773","https://openalex.org/W1975949872","https://openalex.org/W3159871278","https://openalex.org/W2230552005","https://openalex.org/W2905242764","https://openalex.org/W2155261584","https://openalex.org/W230091440","https://openalex.org/W3109411864","https://openalex.org/W3017846737","https://openalex.org/W2584231425"],"abstract_inverted_index":{"Deep":[0],"Learning":[1],"Neural":[2],"Networks":[3],"(DLNN)":[4],"require":[5],"an":[6,120,147,253],"immense":[7],"amount":[8],"of":[9,19,36,54,65,117,131,159,166,188,226,230,257,293,315,336],"computation,":[10],"especially":[11],"in":[12,45,119,326],"the":[13,34,41,46,51,62,79,100,125,129,132,136,143,157,160,164,169,183,189,213,224,227,231,249,258,275,294,301,311,316,332,337],"training":[14,130],"phase":[15],"when":[16],"multiple":[17],"layers":[18],"intermediate":[20],"neurons":[21],"need":[22,137],"to":[23,49,60,97,102,110,127,138,142,156,236,274,287,299,319],"be":[24,237],"built.":[25],"The":[26,115,204],"situation":[27],"is":[28,58,88,96,150,180,220,252],"even":[29],"more":[30,238],"dramatic":[31],"today":[32],"with":[33,38,177,285],"proliferation":[35],"applications":[37],"intelligence":[39],"at":[40],"edge,":[42],"not":[43,151],"just":[44],"cloud.":[47,144],"Therefore,":[48],"meet":[50],"new":[52],"requirements":[53],"edge":[55,121],"computing,":[56],"it":[57,279],"imperative":[59],"accelerate":[61],"execution":[63,171,200,225,264],"phases":[64],"neural":[66],"networks":[67],"as":[68,70,82],"much":[69],"possible.":[71],"In":[72,182,247],"this":[73],"paper,":[74],"we":[75],"will":[76],"focus":[77],"on":[78,163],"algorithm":[80,191],"known":[81],"Particle":[83],"Swarm":[84],"Optimization":[85],"(PSO).":[86],"It":[87],"a":[89,103,112,152,174,198,209,322,327],"bio-inspired,":[90],"stochastic":[91],"optimization":[92],"approach":[93],"whose":[94],"goal":[95],"iteratively":[98],"improve":[99],"solution":[101,176],"given":[104,113],"(usually":[105],"complex)":[106],"problem":[107],"by":[108,218],"attempting":[109],"approximate":[111],"objective.":[114],"use":[116],"PSO":[118,149,190,206,259,295],"computing":[122],"environment":[123,201],"has":[124],"potential":[126],"make":[128],"DLNN":[133],"there":[134],"without":[135],"transfer":[139],"resource-intensive":[140],"tasks":[141],"However,":[145],"implementing":[146],"efficient":[148,239],"straightforward":[153],"process":[154],"due":[155],"complexity":[158],"computations":[161],"performed":[162],"swarm":[165],"particles":[167,219],"and":[168,283,307],"iterative":[170],"until":[172,173],"near-target":[175],"minimal":[178],"error":[179],"achieved.":[181],"present":[184],"work,":[185],"two":[186],"parallelizations":[187],"have":[192,296],"been":[193,297],"implemented,":[194],"both":[195],"designed":[196],"for":[197,240,266],"distributed":[199],"(Apache":[202],"Spark).":[203],"first":[205,276],"parallelization":[207],"follows":[208],"synchronous":[210],"scheme;":[211],"i.e.,":[212],"best":[214],"global":[215],"position":[216,308],"found":[217],"globally":[221],"updated":[222],"before":[223],"next":[228],"iteration":[229],"algorithm.":[232],"This":[233],"implementation":[234,251],"proved":[235],"medium-sized":[241],"datasets":[242,268],"(<":[243],"40000":[244],"data":[245,271],"points).":[246],"contrast,":[248],"second":[250],"asynchronous":[254],"parallel":[255],"variant":[256],"algorithm,":[260],"which":[261],"showed":[262],"lower":[263],"time":[265],"large":[267],"(>":[269],"170,000":[270],"points)":[272],"compared":[273],"one.":[277],"Additionally,":[278],"exhibits":[280],"better":[281],"scalability":[282],"elasticity":[284],"respect":[286],"increasing":[288],"dataset":[289],"size.":[290],"Both":[291],"variants":[292],"implemented":[298],"distribute":[300],"computational":[302],"load":[303],"(particle":[304],"fitness":[305],"evaluation":[306],"update)":[309],"across":[310],"different":[312],"executor":[313],"nodes":[314],"Spark":[317],"cluster":[318],"effectively":[320],"achieve":[321],"coarse-grained":[323],"parallelism,":[324],"resulting":[325],"significant":[328],"performance":[329],"imporvement":[330],"over":[331],"current":[333],"sequential":[334],"versions":[335],"PSO.":[338]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}