{"id":"https://openalex.org/W2584979567","doi":"https://doi.org/10.1109/glocom.2016.7841777","title":"Efficient Distributed Machine Learning with Trigger Driven Parallel Training","display_name":"Efficient Distributed Machine Learning with Trigger Driven Parallel Training","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2584979567","doi":"https://doi.org/10.1109/glocom.2016.7841777","mag":"2584979567"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2016.7841777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7841777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","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/A5005938167","display_name":"Shenglong Li","orcid":"https://orcid.org/0000-0003-2244-1184"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shenglong Li","raw_affiliation_strings":["Computer Science Department, Peking University"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100919692","display_name":"Jilong Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jilong Xue","raw_affiliation_strings":["Computer Science Department, Peking University"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102862758","display_name":"Zhi Yang","orcid":"https://orcid.org/0000-0002-8219-4499"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Yang","raw_affiliation_strings":["Computer Science Department, Peking University"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103039363","display_name":"Yafei Dai","orcid":"https://orcid.org/0000-0003-2126-8607"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafei Dai","raw_affiliation_strings":["Institute of Big Data Technologies, Peking University"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data Technologies, Peking University","institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005938167"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1082194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization 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/T11612","display_name":"Stochastic Gradient Optimization 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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9966999888420105,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9927999973297119,"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":0.8764891624450684},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6758899688720703},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.6642851233482361},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6310006976127625},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5457363724708557},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4640679955482483},{"id":"https://openalex.org/keywords/load-balancing","display_name":"Load balancing (electrical power)","score":0.44093823432922363},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4388171434402466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38850975036621094},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1744941771030426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1622348129749298},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10906171798706055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8764891624450684},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6758899688720703},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.6642851233482361},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6310006976127625},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5457363724708557},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4640679955482483},{"id":"https://openalex.org/C138959212","wikidata":"https://www.wikidata.org/wiki/Q1806783","display_name":"Load balancing (electrical power)","level":3,"score":0.44093823432922363},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4388171434402466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38850975036621094},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1744941771030426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1622348129749298},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10906171798706055},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2016.7841777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7841777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.550000011920929,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W200298483","https://openalex.org/W1442374986","https://openalex.org/W1528469369","https://openalex.org/W1609010894","https://openalex.org/W1969805974","https://openalex.org/W2060393849","https://openalex.org/W2083842231","https://openalex.org/W2084392717","https://openalex.org/W2113097878","https://openalex.org/W2132737349","https://openalex.org/W2138996412","https://openalex.org/W2150102617","https://openalex.org/W2168231600","https://openalex.org/W2579247884","https://openalex.org/W2962885409","https://openalex.org/W6607964021","https://openalex.org/W6628377381","https://openalex.org/W6665801690","https://openalex.org/W6677064947","https://openalex.org/W6679393576","https://openalex.org/W6681875376","https://openalex.org/W6684859321"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W4241418540","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W1875930651","https://openalex.org/W2166734474"],"abstract_inverted_index":{"Distributed":[0],"machine":[1,25,181,195,222],"learning":[2,26,182,196,223],"is":[3,159],"becoming":[4],"increasingly":[5],"popular":[6],"for":[7,46],"large":[8,13],"scale":[9,14],"data":[10,153],"mining":[11],"on":[12,198],"cluster.":[15,200],"To":[16,93],"mitigate":[17],"the":[18,47,52,61,76,84,95,102,133,148,163,169,175],"interference":[19],"of":[20,79,125,151,221],"straggler":[21,96],"machines,":[22],"recent":[23],"distributed":[24,180,199],"systems":[27],"support":[28],"flexible":[29],"model":[30,39,42,115],"consistency,":[31],"which":[32,129],"allows":[33],"worker":[34,85,205],"using":[35],"a":[36,56,107,141,179],"local":[37],"stale":[38],"to":[40,59,119,146,161,216],"compute":[41],"update":[43],"without":[44],"waiting":[45],"newest":[48],"model,":[49],"while":[50],"limiting":[51],"asynchronous":[53,66,103,157],"step":[54],"in":[55,90],"certain":[57],"bound":[58],"guarantee":[60],"algorithm":[62,164],"correctness.":[63],"However,":[64],"bounded":[65,156],"computing":[67,158],"can":[68,130,192,213],"not":[69],"tolerate":[70],"consistent":[71],"straggler.":[72],"We":[73],"explore":[74],"that":[75],"root":[77],"cause":[78],"this":[80],"problem":[81,97],"derives":[82],"from":[83,122],"driven":[86,110,206,211],"parallel":[87,111,207],"training":[88,112,208],"mechanism":[89,212],"existing":[91],"systems.":[92],"address":[94],"fundamentally":[98],"and":[99,191],"fully":[100],"leverage":[101],"efficiency,":[104,165],"we":[105,139,173],"propose":[106],"novel":[108],"trigger":[109,210],"mechanism,":[113,209],"where":[114],"server":[116],"proactively":[117],"triggers":[118],"collect":[120],"updates":[121],"workers":[123],"instead":[124],"passively":[126],"receiving":[127],"them,":[128],"inherently":[131],"avoid":[132],"coordinating":[134],"issue":[135],"among":[136],"workers.":[137],"Besides,":[138],"devise":[140],"dynamic":[142],"load":[143],"balancing":[144],"strategy":[145],"make":[147],"sampling":[149],"frequency":[150],"each":[152],"equal.":[154],"Furthermore,":[155],"introduced":[160],"achieve":[162],"as":[166,168],"well":[167],"convergence":[170,219],"guarantee.":[171],"Finally,":[172],"integrate":[174],"above":[176],"techniques":[177],"into":[178],"system":[183],"called":[184],"Squirrel.":[185],"Squirrel":[186],"provides":[187],"simple":[188],"programming":[189],"interface":[190],"easily":[193],"deploy":[194],"algorithms":[197],"In":[201],"comparison":[202],"with":[203],"traditional":[204],"improve":[214],"up":[215],"4x":[217],"faster":[218],"speed":[220],"algorithm.":[224]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}