{"id":"https://openalex.org/W2967314080","doi":"https://doi.org/10.1109/jsac.2019.2934002","title":"Optimal Online Data Partitioning for Geo-Distributed Machine Learning in Edge of Wireless Networks","display_name":"Optimal Online Data Partitioning for Geo-Distributed Machine Learning in Edge of Wireless Networks","publication_year":2019,"publication_date":"2019-08-09","ids":{"openalex":"https://openalex.org/W2967314080","doi":"https://doi.org/10.1109/jsac.2019.2934002","mag":"2967314080"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2019.2934002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2019.2934002","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/A5090327058","display_name":"Xinchen Lyu","orcid":"https://orcid.org/0000-0003-0404-4310"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinchen Lyu","raw_affiliation_strings":["National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056079858","display_name":"Chenshan Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chenshan Ren","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Utimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Utimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021527965","display_name":"Wei Ni","orcid":"https://orcid.org/0000-0003-0780-4637"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Ni","raw_affiliation_strings":["DATA61, CSIRO, Marsfield, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"DATA61, CSIRO, Marsfield, NSW, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026608908","display_name":"Hui Tian","orcid":"https://orcid.org/0000-0001-8876-1389"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Tian","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008974159","display_name":"Ren Ping Liu","orcid":"https://orcid.org/0000-0001-7001-6305"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ren Ping Liu","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063537942","display_name":"Eryk Dutkiewicz","orcid":"https://orcid.org/0000-0002-4268-9286"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Eryk Dutkiewicz","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5090327058"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":6.3132,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.96837327,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"37","issue":"10","first_page":"2393","last_page":"2406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9968000054359436,"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":0.9955000281333923,"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":0.8661792278289795},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6762915849685669},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6041799783706665},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5682504177093506},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5411154627799988},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.4570614695549011},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.45529961585998535},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.43858253955841064},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3441222310066223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25865209102630615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18405833840370178},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1310025155544281}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8661792278289795},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6762915849685669},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6041799783706665},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5682504177093506},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5411154627799988},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.4570614695549011},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.45529961585998535},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.43858253955841064},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3441222310066223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25865209102630615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18405833840370178},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1310025155544281},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":2,"locations":[{"id":"doi:10.1109/jsac.2019.2934002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2019.2934002","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"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/140518","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/140518","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G5852264781","display_name":null,"funder_award_id":"61790553","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8440187644","display_name":null,"funder_award_id":"L182036","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1464363888","https://openalex.org/W1570448133","https://openalex.org/W1802650639","https://openalex.org/W2025222277","https://openalex.org/W2025616337","https://openalex.org/W2060393849","https://openalex.org/W2079715629","https://openalex.org/W2096544401","https://openalex.org/W2109722477","https://openalex.org/W2127470768","https://openalex.org/W2137152139","https://openalex.org/W2138243089","https://openalex.org/W2169087758","https://openalex.org/W2169486379","https://openalex.org/W2183243439","https://openalex.org/W2332912277","https://openalex.org/W2402144811","https://openalex.org/W2527855297","https://openalex.org/W2579247884","https://openalex.org/W2604783387","https://openalex.org/W2617766261","https://openalex.org/W2761434131","https://openalex.org/W2762586323","https://openalex.org/W2769644379","https://openalex.org/W2777180355","https://openalex.org/W2785821779","https://openalex.org/W2793025358","https://openalex.org/W2793431418","https://openalex.org/W2793925626","https://openalex.org/W2807731816","https://openalex.org/W2825912445","https://openalex.org/W2887817291","https://openalex.org/W2890601616","https://openalex.org/W2891935798","https://openalex.org/W2907943746","https://openalex.org/W2908240230","https://openalex.org/W2953384591","https://openalex.org/W2962684017","https://openalex.org/W2962788286","https://openalex.org/W2963079995","https://openalex.org/W2963869198","https://openalex.org/W2964004663","https://openalex.org/W2971327324","https://openalex.org/W3004277316","https://openalex.org/W3032989794","https://openalex.org/W3049336670","https://openalex.org/W4250589301","https://openalex.org/W6628558282","https://openalex.org/W6638421544","https://openalex.org/W6665801690","https://openalex.org/W6676367512","https://openalex.org/W6680402377","https://openalex.org/W6713134421","https://openalex.org/W6736413256","https://openalex.org/W6738460352","https://openalex.org/W6746200960","https://openalex.org/W6755052731","https://openalex.org/W6757624917","https://openalex.org/W6757720163","https://openalex.org/W6767841423"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W3023564924","https://openalex.org/W2942586735"],"abstract_inverted_index":{"To":[0],"enable":[1],"machine":[2,38],"learning":[3,39,65],"at":[4],"the":[5,27,42,95,102,117,124,138,145,153,159,165,168,181,189],"edge":[6,12,31],"of":[7,97,104,127,140,152,167,172,180],"wireless":[8,22],"networks":[9],"(such":[10],"as":[11],"cloud),":[13],"close":[14],"to":[15,52,61,79,93,115,135,164,184,187],"mobile":[16],"users,":[17],"is":[18,91,113,133,162],"critical":[19],"for":[20,58],"future":[21],"networks,":[23],"but":[24],"challenging":[25],"since":[26],"lower":[28],"layers":[29],"in":[30,41,170],"cloud":[32],"are":[33],"substantially":[34],"different":[35,59],"from":[36],"existing":[37],"configurations":[40],"cloud.":[43],"In":[44],"such":[45],"geo-distributed":[46],"computing":[47],"environment,":[48],"streaming":[49,82],"data":[50,83,98,105,128,148],"need":[51,183],"be":[53,185],"evenly":[54],"and":[55,100,108,121,150,174],"cost-efficiently":[56],"partitioned":[57],"workers":[60],"produce":[62],"an":[63],"unbiased":[64],"model":[66],"with":[67],"reduced":[68],"parameter":[69],"synchronization":[70],"frequency.":[71],"This":[72],"paper":[73],"presents":[74],"a":[75],"new":[76,89,131],"online":[77,120],"approach":[78,161],"optimally":[80],"partitioning":[81,99],"under":[84],"time-varying":[85],"network":[86],"conditions.":[87],"A":[88,130],"measure":[90],"proposed":[92,160],"quantify":[94],"evenness":[96],"restrain":[101],"optimization":[103],"admission,":[106],"partitioning,":[107],"processing.":[109],"Stochastic":[110],"gradient":[111],"descent":[112],"applied":[114],"learn":[116],"optimal":[118],"decisions":[119],"asymptotically":[122],"maximize":[123],"time-average":[125],"utility":[126],"partitioning.":[129],"protocol":[132],"designed":[134],"further":[136],"reduce":[137],"measurements":[139],"link":[141],"costs,":[142],"while":[143,177],"preserving":[144],"asymptotic":[146,190],"optimality,":[147],"evenness,":[149],"stability":[151],"platform.":[154],"Simulation":[155],"results":[156],"show":[157],"that":[158],"superior":[163],"state":[166],"art":[169],"terms":[171],"throughput":[173],"cost":[175],"efficiency,":[176],"only":[178],"24%":[179],"links":[182],"measured":[186],"achieve":[188],"optimality.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}