{"id":"https://openalex.org/W4205734798","doi":"https://doi.org/10.1109/comsnets53615.2022.9668349","title":"Evaluating Data-Parallel Distributed Training Strategies","display_name":"Evaluating Data-Parallel Distributed Training Strategies","publication_year":2022,"publication_date":"2022-01-04","ids":{"openalex":"https://openalex.org/W4205734798","doi":"https://doi.org/10.1109/comsnets53615.2022.9668349"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets53615.2022.9668349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets53615.2022.9668349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on COMmunication Systems &amp; NETworkS (COMSNETS)","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/A5001475105","display_name":"Ganesan Ponnuswami","orcid":null},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ganesan Ponnuswami","raw_affiliation_strings":["Indian Institute of Technology,School of Computing and Electrical Engineering,Mandi,Himachal Pradesh,India","School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, Himachal Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,School of Computing and Electrical Engineering,Mandi,Himachal Pradesh,India","institution_ids":["https://openalex.org/I9579091"]},{"raw_affiliation_string":"School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, Himachal Pradesh, India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019492193","display_name":"Sriram Kailasam","orcid":"https://orcid.org/0000-0002-2218-8660"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sriram Kailasam","raw_affiliation_strings":["Indian Institute of Technology,School of Computing and Electrical Engineering,Mandi,Himachal Pradesh,India","School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, Himachal Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,School of Computing and Electrical Engineering,Mandi,Himachal Pradesh,India","institution_ids":["https://openalex.org/I9579091"]},{"raw_affiliation_string":"School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, Himachal Pradesh, India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108829280","display_name":"Dileep Aroor Dinesh","orcid":null},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dileep Aroor Dinesh","raw_affiliation_strings":["Indian Institute of Technology,School of Computing and Electrical Engineering,Mandi,Himachal Pradesh,India","School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, Himachal Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,School of Computing and Electrical Engineering,Mandi,Himachal Pradesh,India","institution_ids":["https://openalex.org/I9579091"]},{"raw_affiliation_string":"School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, Himachal Pradesh, India","institution_ids":["https://openalex.org/I9579091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9579091"],"apc_list":null,"apc_paid":null,"fwci":0.0925,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.30040906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"759","last_page":"763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9959999918937683,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.995199978351593,"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":0.8727154731750488},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.8171080350875854},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7954828143119812},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5856240391731262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5211684703826904},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5049243569374084},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.4899853765964508},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4790966808795929},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47532418370246887},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4630207419395447},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4317077398300171},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33927178382873535},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14676892757415771},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13169154524803162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8727154731750488},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.8171080350875854},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7954828143119812},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5856240391731262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5211684703826904},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5049243569374084},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.4899853765964508},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4790966808795929},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47532418370246887},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4630207419395447},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4317077398300171},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33927178382873535},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14676892757415771},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13169154524803162},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets53615.2022.9668349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets53615.2022.9668349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on COMmunication Systems &amp; NETworkS (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2060393849","https://openalex.org/W2127941149","https://openalex.org/W2547190417","https://openalex.org/W2797862701","https://openalex.org/W2913866622","https://openalex.org/W2984509121","https://openalex.org/W3021027963","https://openalex.org/W3042766772","https://openalex.org/W3118608800","https://openalex.org/W3167625290","https://openalex.org/W4288115451","https://openalex.org/W6665801690","https://openalex.org/W6679154944","https://openalex.org/W6767421740","https://openalex.org/W6780543431"],"related_works":["https://openalex.org/W2116677773","https://openalex.org/W2155261584","https://openalex.org/W2584231425","https://openalex.org/W2150611273","https://openalex.org/W4207086172","https://openalex.org/W2042919702","https://openalex.org/W4225981436","https://openalex.org/W2156185805","https://openalex.org/W4285322112","https://openalex.org/W4292794239"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"require":[4],"distributed":[5,25,43,64],"training":[6,30,65,108],"strategies":[7,66,100],"to":[8],"deal":[9],"with":[10],"large":[11],"data":[12],"sizes.":[13],"TensorFlow":[14,29],"is":[15],"one":[16],"of":[17,63],"the":[18,28,32,46,61],"most":[19],"widely":[20],"used":[21],"frameworks":[22],"that":[23],"support":[24],"training.":[26,55],"Among":[27],"strategies,":[31],"mirrored":[33,38],"strategy":[34,39,49],"(MS)":[35],"and":[36,69,75,87,92,110],"multi-worker":[37],"(MWMS)":[40],"follow":[41],"synchronous":[42,68],"model":[44,94],"training;":[45],"parameter":[47],"server":[48],"(PSS)":[50],"implements":[51],"asynchronous":[52,70],"methods":[53],"for":[54],"In":[56],"this":[57],"work,":[58],"we":[59],"analyze":[60],"performance":[62],"in":[67],"settings":[71],"by":[72,103],"implementing":[73],"LSTM":[74],"MLP":[76],"on":[77,95],"two":[78],"industrial":[79],"time-series":[80],"datasets":[81],"from":[82],"network":[83],"management":[84],"systems":[85],"(NMS)":[86],"Google":[88],"cluster":[89],"trace":[90],"(GCT),":[91],"Inception-v3":[93],"CIFAR-10":[96],"image":[97],"dataset.":[98],"The":[99],"were":[101],"compared":[102],"empirically":[104],"evaluating":[105],"loss,":[106],"accuracy,":[107],"time,":[109],"scalability.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
