{"id":"https://openalex.org/W2960253442","doi":"https://doi.org/10.1109/icc.2019.8761303","title":"Data Analytics for Fog Computing by Distributed Online Learning with Asynchronous Update","display_name":"Data Analytics for Fog Computing by Distributed Online Learning with Asynchronous Update","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2960253442","doi":"https://doi.org/10.1109/icc.2019.8761303","mag":"2960253442"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2019.8761303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","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/A5009139939","display_name":"Guangxia Li","orcid":"https://orcid.org/0000-0003-2158-8723"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangxia Li","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015991234","display_name":"Peilin Zhao","orcid":"https://orcid.org/0000-0001-8543-3953"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peilin Zhao","raw_affiliation_strings":["Tencent AI Lab, Tencent Inc, China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Tencent Inc, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051708868","display_name":"Xiao Lu","orcid":"https://orcid.org/0000-0002-0602-2337"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiao Lu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409768","display_name":"Jia Liu","orcid":"https://orcid.org/0000-0003-4284-2313"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043356063","display_name":"Yulong Shen","orcid":"https://orcid.org/0000-0002-8448-705X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong Shen","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009139939"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.9454,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87454506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994000196456909,"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":0.9994000196456909,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9940999746322632,"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":0.8736153841018677},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.7211611270904541},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.710698664188385},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.6766282320022583},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6722163558006287},{"id":"https://openalex.org/keywords/data-center","display_name":"Data center","score":0.6238861083984375},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5501061081886292},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5374062657356262},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.48687830567359924},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4331645369529724},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42222893238067627},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2897377908229828},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2505895495414734},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23435702919960022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8736153841018677},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.7211611270904541},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.710698664188385},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.6766282320022583},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6722163558006287},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.6238861083984375},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5501061081886292},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5374062657356262},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.48687830567359924},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4331645369529724},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42222893238067627},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2897377908229828},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2505895495414734},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23435702919960022},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2019.8761303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W7177339","https://openalex.org/W1981094339","https://openalex.org/W1987800947","https://openalex.org/W2045371716","https://openalex.org/W2049469158","https://openalex.org/W2053882326","https://openalex.org/W2056959789","https://openalex.org/W2114623221","https://openalex.org/W2130062883","https://openalex.org/W2138243089","https://openalex.org/W2343050074","https://openalex.org/W2569020760","https://openalex.org/W2785952199","https://openalex.org/W2791328896","https://openalex.org/W3102845547","https://openalex.org/W6600301250","https://openalex.org/W6645512134","https://openalex.org/W6647320813","https://openalex.org/W6662929504","https://openalex.org/W6663893076","https://openalex.org/W6679314259","https://openalex.org/W6680402377","https://openalex.org/W6748081988"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4319161913"],"abstract_inverted_index":{"Fog":[0],"computing":[1,5],"extends":[2],"the":[3,16,33,44,99,113,124,156,163,179,183,188],"cloud":[4],"paradigm":[6],"by":[7],"allocating":[8],"substantial":[9],"portions":[10],"of":[11,18,35,46,86,178,187],"computations":[12],"and":[13,21,29,102,136,185],"services":[14],"towards":[15],"edge":[17],"a":[19,41,67,82,92,118,169,173],"network,":[20],"is,":[22],"therefore,":[23],"particularly":[24],"suitable":[25],"for":[26,43,132],"large-scale,":[27],"geo-distributed,":[28],"data-intensive":[30],"applications.":[31],"As":[32],"popularity":[34],"fog":[36],"applications":[37],"increases,":[38],"there":[39],"is":[40,89,129,152,166],"demand":[42],"development":[45],"smart":[47],"data":[48,55,71],"analytic":[49],"tools,":[50],"which":[51,70,128],"can":[52],"process":[53],"massive":[54],"streams":[56,72],"in":[57,69,176],"an":[58],"efficient":[59],"manner.":[60],"To":[61],"satisfy":[62],"such":[63],"requirements,":[64],"we":[65,116],"propose":[66],"system":[68,157,190],"generated":[73],"from":[74,98],"distributed":[75,119],"sources":[76],"are":[77,191],"digested":[78],"almost":[79],"locally,":[80],"whereas":[81,182],"relatively":[83],"small":[84],"amount":[85],"distilled":[87],"information":[88],"converged":[90],"to":[91,108,139,154],"center.":[93],"The":[94],"center":[95],"extracts":[96],"knowledge":[97],"collected":[100],"information,":[101],"shares":[103],"it":[104],"across":[105],"all":[106],"subordinates":[107],"boost":[109],"their":[110],"performances.":[111],"Upon":[112],"proposed":[114,164],"system,":[115],"devise":[117],"machine":[120],"learning":[121,126],"algorithm":[122],"using":[123],"online":[125],"approach,":[127],"well":[130],"known":[131],"its":[133],"high":[134],"efficiency":[135,184],"innate":[137],"ability":[138],"cope":[140],"with":[141,148,168],"streaming":[142],"data.":[143],"An":[144],"asynchronous":[145],"update":[146],"strategy":[147],"rigorous":[149],"theoretical":[150],"support":[151],"applied":[153],"enhance":[155],"robustness.":[158],"Experimental":[159],"results":[160],"demonstrate":[161],"that":[162],"method":[165],"comparable":[167],"model":[170],"trained":[171],"over":[172],"centralized":[174],"platform":[175],"terms":[177],"classification":[180],"accuracy,":[181],"scalability":[186],"overall":[189],"improved.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}