{"id":"https://openalex.org/W3108514269","doi":"https://doi.org/10.1145/3426745.3431338","title":"Maggy","display_name":"Maggy","publication_year":2020,"publication_date":"2020-11-26","ids":{"openalex":"https://openalex.org/W3108514269","doi":"https://doi.org/10.1145/3426745.3431338","mag":"3108514269"},"language":"en","primary_location":{"id":"doi:10.1145/3426745.3431338","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426745.3431338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Distributed Machine Learning","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/A5036763094","display_name":"Moritz Meister","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Moritz Meister","raw_affiliation_strings":["Logical Clocks AB, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Logical Clocks AB, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023575593","display_name":"Sina Sheikholeslami","orcid":"https://orcid.org/0000-0001-7236-4637"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sina Sheikholeslami","raw_affiliation_strings":["KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012596151","display_name":"Amir H. Payberah","orcid":"https://orcid.org/0000-0002-2748-8929"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Amir H. Payberah","raw_affiliation_strings":["KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042422836","display_name":"Vladimir Vlassov","orcid":"https://orcid.org/0000-0002-6779-7435"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Vladimir Vlassov","raw_affiliation_strings":["KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055127792","display_name":"Jim Dowling","orcid":"https://orcid.org/0000-0002-9484-6714"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jim Dowling","raw_affiliation_strings":["KTH Royal Institute of Technology, Logical Clocks AB Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Logical Clocks AB Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036763094"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0605,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82591648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8413203358650208},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.7618715167045593},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.716602623462677},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.703666627407074},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.597467303276062},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5308231711387634},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48065245151519775},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47109872102737427},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.4639451503753662},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.42204350233078003},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34988972544670105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31193816661834717},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14895159006118774},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13227981328964233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8413203358650208},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.7618715167045593},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.716602623462677},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.703666627407074},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.597467303276062},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5308231711387634},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48065245151519775},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47109872102737427},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.4639451503753662},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.42204350233078003},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34988972544670105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31193816661834717},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14895159006118774},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13227981328964233},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3426745.3431338","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426745.3431338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Distributed Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1582774210","https://openalex.org/W2113207845","https://openalex.org/W2131975293","https://openalex.org/W2174554700","https://openalex.org/W2189465200","https://openalex.org/W2192203593","https://openalex.org/W2197776371","https://openalex.org/W2402144811","https://openalex.org/W2604258491","https://openalex.org/W2618818856","https://openalex.org/W2732547613","https://openalex.org/W2750384547","https://openalex.org/W2780624097","https://openalex.org/W2799181865","https://openalex.org/W2883265831","https://openalex.org/W2908974255","https://openalex.org/W2913860539","https://openalex.org/W2952463127","https://openalex.org/W2963334428","https://openalex.org/W2963390429","https://openalex.org/W2963815651","https://openalex.org/W6687322159","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2950475743","https://openalex.org/W4386603768","https://openalex.org/W2886711096","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W2590796488","https://openalex.org/W4389249638","https://openalex.org/W2734358244","https://openalex.org/W4388700941","https://openalex.org/W2735450835"],"abstract_inverted_index":{"Running":[0],"extensive":[1],"experiments":[2,12],"is":[3,57],"essential":[4],"for":[5,34,150],"building":[6],"Machine":[7],"Learning":[8],"(ML)":[9],"models.":[10],"Such":[11],"usually":[13],"require":[14],"iterative":[15,43],"execution":[16,52,75,132],"of":[17,76,84,133,164],"many":[18],"trials":[19,64,85,110,135,165],"with":[20,114,129],"varying":[21],"run":[22,89],"times.":[23],"In":[24,95,123],"recent":[25],"years,":[26],"Apache":[27],"Spark":[28,137],"has":[29],"become":[30],"the":[31,39,48,68,115,124,130,151,156,174],"de-facto":[32],"standard":[33],"parallel":[35,50,134],"data":[36],"processing":[37],"in":[38,41,65,112,136,173],"industry,":[40],"which":[42,78],"processes":[44],"are":[45],"implemented":[46],"within":[47],"bulk-synchronous":[49],"(BSP)":[51],"model.":[53],"The":[54],"BSP":[55,69,131],"approach":[56],"also":[58],"being":[59],"used":[60],"to":[61,80,107,117,159,168],"parallelize":[62],"ML":[63,109],"Spark.":[66],"However,":[67],"task":[70],"synchronization":[71],"barriers":[72],"prevent":[73],"asynchronous":[74],"trials,":[77],"leads":[79],"a":[81,91,146,161],"reduced":[82],"number":[83,163],"that":[86,140],"can":[87],"be":[88],"on":[90,105,141,145],"given":[92],"computational":[93],"budget.":[94],"this":[96],"paper,":[97],"we":[98,126],"introduce":[99],"Maggy,":[100],"an":[101],"open-source":[102],"framework":[103],"based":[104],"Spark,":[106],"execute":[108,160],"asynchronously":[111],"parallel,":[113],"ability":[116],"early":[118],"stop":[119],"poorly":[120],"performing":[121],"trials.":[122],"experiments,":[125],"compare":[127],"Maggy":[128,154],"and":[138],"show":[139],"random":[142],"hyperparameter":[143],"search":[144],"convolutional":[147],"neural":[148],"network":[149],"Fashion-MNIST":[152],"dataset":[153],"reduces":[155],"required":[157],"time":[158],"fixed":[162],"by":[166],"33%":[167],"58%,":[169],"without":[170],"any":[171],"loss":[172],"final":[175],"model":[176],"accuracy.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-12-07T00:00:00"}
