{"id":"https://openalex.org/W3160924458","doi":"https://doi.org/10.1109/jsac.2021.3078494","title":"Optimal Incentive and Load Design for Distributed Coded Machine Learning","display_name":"Optimal Incentive and Load Design for Distributed Coded Machine Learning","publication_year":2021,"publication_date":"2021-05-17","ids":{"openalex":"https://openalex.org/W3160924458","doi":"https://doi.org/10.1109/jsac.2021.3078494","mag":"3160924458"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2021.3078494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2021.3078494","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-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/A5066234112","display_name":"Ningning Ding","orcid":"https://orcid.org/0000-0002-9052-8719"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ningning Ding","raw_affiliation_strings":["Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010064740","display_name":"Zhixuan Fang","orcid":"https://orcid.org/0000-0001-7979-4269"},"institutions":[{"id":"https://openalex.org/I4210122302","display_name":"ShangHai JiAi Genetics & IVF Institute","ror":"https://ror.org/02rgbry52","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210122302"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixuan Fang","raw_affiliation_strings":["Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China","Shanghai Qi Zhi Institute, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shanghai Qi Zhi Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210122302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007119869","display_name":"Lingjie Duan","orcid":"https://orcid.org/0000-0002-0217-6507"},"institutions":[{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]},{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Lingjie Duan","raw_affiliation_strings":["Engineering Systems and Design Pillar, Singapore University of Technology and Design, Singapore","Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Engineering Systems and Design Pillar, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]},{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062346297","display_name":"Jianwei Huang","orcid":"https://orcid.org/0000-0001-6631-1096"},"institutions":[{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Huang","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China","Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066234112"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":1.2237,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82957557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"39","issue":"7","first_page":"2090","last_page":"2104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/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/T13553","display_name":"Age of Information Optimization","score":0.9926999807357788,"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":0.8248729705810547},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7192445993423462},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6415519714355469},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.5227925181388855},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.5137899518013},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.5026116371154785},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.47935134172439575},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4472917318344116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4032868444919586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3425341844558716},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1681414246559143}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8248729705810547},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7192445993423462},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6415519714355469},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.5227925181388855},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.5137899518013},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.5026116371154785},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.47935134172439575},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4472917318344116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4032868444919586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3425341844558716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1681414246559143},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsac.2021.3078494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2021.3078494","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1982063824","https://openalex.org/W2126045912","https://openalex.org/W2268702383","https://openalex.org/W2556205507","https://openalex.org/W2591677828","https://openalex.org/W2745045892","https://openalex.org/W2773254315","https://openalex.org/W2789121707","https://openalex.org/W2901745114","https://openalex.org/W2921917212","https://openalex.org/W2922342388","https://openalex.org/W2962850796","https://openalex.org/W2963120762","https://openalex.org/W2963152109","https://openalex.org/W2963343605","https://openalex.org/W2963837493","https://openalex.org/W2963953036","https://openalex.org/W2972882814","https://openalex.org/W2976713597","https://openalex.org/W2980713544","https://openalex.org/W2981556215","https://openalex.org/W3001989995","https://openalex.org/W3025029677","https://openalex.org/W3100515187","https://openalex.org/W3112877893","https://openalex.org/W3126092023","https://openalex.org/W4301515685","https://openalex.org/W6730190955","https://openalex.org/W6738835244","https://openalex.org/W6760576694","https://openalex.org/W6761222027"],"related_works":["https://openalex.org/W4361804730","https://openalex.org/W2142113611","https://openalex.org/W2018387840","https://openalex.org/W2087870008","https://openalex.org/W2162534555","https://openalex.org/W2752178021","https://openalex.org/W2045629210","https://openalex.org/W2143024819","https://openalex.org/W2334467465","https://openalex.org/W2964201926"],"abstract_inverted_index":{"A":[0,113],"distributed":[1],"machine":[2,35,99,165],"learning":[3,36],"platform":[4,169,190],"needs":[5],"to":[6,12,26,77,120,160,179,200,204],"recruit":[7],"many":[8],"heterogeneous":[9,107,161],"worker":[10,79],"nodes":[11],"finish":[13,60],"computation":[14,47,109,143,186,194],"simultaneously.":[15],"As":[16],"a":[17,126,141],"result,":[18],"the":[19,40,45,50,55,71,87,102,131,146,154,168,189,202],"overall":[20,148],"performance":[21,42,195],"may":[22],"be":[23,205],"degraded":[24],"due":[25],"straggling":[27],"workers.":[28],"By":[29],"introducing":[30],"redundancy":[31],"into":[32],"computation,":[33],"coded":[34,98,164],"can":[37],"effectively":[38],"improve":[39],"runtime":[41,149],"by":[43],"recovering":[44],"final":[46],"result":[48],"through":[49],"first":[51],"k":[52],"(out":[53],"of":[54,73,116,135],"total":[56],"n)":[57],"workers":[58,136,162],"who":[59],"computation.":[61],"While":[62],"existing":[63],"studies":[64,86],"focus":[65],"on":[66,184],"designing":[67,74],"efficient":[68,133],"coding":[69],"schemes,":[70],"issue":[72],"proper":[75,94],"incentives":[76],"encourage":[78],"participation":[80,96],"is":[81,119,150,177,198],"still":[82],"under-explored.":[83],"This":[84],"paper":[85],"platform's":[88,132,155],"optimal":[89,157,178,199],"incentive":[90],"mechanism":[91],"for":[92],"motivating":[93],"workers'":[95,108,122,174,185,193],"in":[97,163],"learning,":[100],"despite":[101],"multi-dimensional":[103,123],"incomplete":[104,138,171],"information":[105,139,172],"about":[106,173],"performances":[110],"and":[111,207],"costs.":[112],"key":[114],"contribution":[115],"this":[117],"work":[118],"summarize":[121],"heterogeneity":[124],"as":[125],"one-dimensional":[127],"metric,":[128],"which":[129],"guides":[130],"selection":[134],"under":[137],"with":[140],"linear":[142],"complexity.":[144],"Although":[145],"exact":[147],"intractable,":[151],"we":[152],"characterize":[153],"(asymptotically)":[156],"load":[158],"assignment":[159],"learning.":[166],"When":[167],"has":[170],"costs,":[175],"it":[176,197],"assign":[180],"loads":[181,203],"only":[182],"based":[183],"performances;":[187],"when":[188],"further":[191],"lacks":[192],"information,":[196],"design":[201],"cost-dependent":[206],"performance-dependent.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}