{"id":"https://openalex.org/W2735990176","doi":"https://doi.org/10.1109/wowmom.2017.7974310","title":"Optimal trade-off between accuracy and network cost of distributed learning in Mobile Edge Computing: An analytical approach","display_name":"Optimal trade-off between accuracy and network cost of distributed learning in Mobile Edge Computing: An analytical approach","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2735990176","doi":"https://doi.org/10.1109/wowmom.2017.7974310","mag":"2735990176"},"language":"en","primary_location":{"id":"doi:10.1109/wowmom.2017.7974310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wowmom.2017.7974310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)","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/A5022139051","display_name":"Lorenzo Valerio","orcid":"https://orcid.org/0000-0001-5574-7847"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Valerio","raw_affiliation_strings":["Institute for Informatics and Telematics, National Research Council, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Informatics and Telematics, National Research Council, Pisa, Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018610428","display_name":"Andrea Passarella","orcid":"https://orcid.org/0000-0002-1694-612X"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Passarella","raw_affiliation_strings":["Institute for Informatics and Telematics, National Research Council, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Informatics and Telematics, National Research Council, Pisa, Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051596806","display_name":"Marco Conti","orcid":"https://orcid.org/0000-0003-4097-4064"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Conti","raw_affiliation_strings":["Institute for Informatics and Telematics, National Research Council, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Informatics and Telematics, National Research Council, Pisa, Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9902999997138977,"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":0.8033033013343811},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7187642455101013},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6575626730918884},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6349596381187439},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6121754050254822},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5193830132484436},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5182502269744873},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4995443820953369},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.48670485615730286},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.48095813393592834},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4486154615879059},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4142933487892151},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3648783564567566},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29906582832336426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15300604701042175},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14426898956298828},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10185292363166809}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8033033013343811},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7187642455101013},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6575626730918884},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6349596381187439},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6121754050254822},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5193830132484436},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5182502269744873},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4995443820953369},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.48670485615730286},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.48095813393592834},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4486154615879059},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4142933487892151},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3648783564567566},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29906582832336426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15300604701042175},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14426898956298828},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10185292363166809},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/wowmom.2017.7974310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wowmom.2017.7974310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W950773855","https://openalex.org/W1511483083","https://openalex.org/W1992025196","https://openalex.org/W2004915807","https://openalex.org/W2061860832","https://openalex.org/W2107438106","https://openalex.org/W2114623221","https://openalex.org/W2126644064","https://openalex.org/W2134289576","https://openalex.org/W2135099885","https://openalex.org/W2139587243","https://openalex.org/W2148628210","https://openalex.org/W2475667482","https://openalex.org/W2554264368","https://openalex.org/W2963069375","https://openalex.org/W2981552608","https://openalex.org/W4237640996","https://openalex.org/W6630846888","https://openalex.org/W6676105031"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4312996489","https://openalex.org/W2893963003"],"abstract_inverted_index":{"The":[0,55,290],"most":[1],"widely":[2],"adopted":[3],"approach":[4,51],"for":[5,75,89,318,357],"knowledge":[6],"extraction":[7],"from":[8,34],"raw":[9],"data":[10,31,56,76,86,96,194,320],"generated":[11,180,191],"at":[12,129,165,173],"the":[13,16,40,47,61,79,107,119,133,142,149,160,170,182,189,196,201,204,207,211,240,271,274,286,298,301,315,325,343,354,358],"edges":[14],"of":[15,43,60,63,73,106,141,153,178,273,282,300,345],"Internet":[17],"(e.g.,":[18],"by":[19,98,210,349],"IoT":[20],"or":[21,121,203],"personal":[22],"mobile":[23],"devices)":[24],"is":[25,32,81,87,156,243,314],"through":[26,123,333],"global":[27],"cloud":[28],"platforms,":[29],"where":[30,85],"collected":[33,115],"devices,":[35],"and":[36,65,92,146,206,224,238,266,309],"analysed.":[37],"However,":[38],"with":[39,258,278,285],"increasing":[41],"number":[42],"devices":[44,99,113],"spread":[45],"in":[46,118,132,169,176,230,321,335,341],"physical":[48],"environment,":[49],"this":[50,248,259],"rises":[52],"several":[53],"concerns.":[54],"gravity":[57],"concept,":[58],"one":[59,105,208,226],"basis":[62],"Fog":[64],"Mobile":[66],"Edge":[67,202],"Computing,":[68],"points":[69,168],"towards":[70,195],"a":[71,235,268,279],"decentralisation":[72],"computation":[74],"analysis,":[77],"whereby":[78],"latter":[80],"performed":[82,277],"closer":[83],"to":[84,104,188,192,219,232,256,295,323,337,353],"generated,":[88],"both":[90,233],"scalability":[91],"privacy":[93],"reasons.":[94],"Hence,":[95],"produced":[97],"might":[100],"be":[101,229,293],"processed":[102],"according":[103],"following":[108],"approaches:":[109],"(i)":[110,145],"directly":[111],"on":[112],"that":[114,159,339],"it":[116],"(ii)":[117,147],"cloud,":[120],"(iii)":[122],"fog/mobile":[124],"edge":[125],"computing":[126],"techniques,":[127],"i.e.,":[128],"intermediate":[130,221,346],"nodes":[131],"network,":[134,171],"running":[135],"distributed":[136,212],"analytics":[137,162,213],"after":[138],"collecting":[139,319],"subsets":[140],"data.":[143],"Clearly,":[144],"are":[148],"two":[150],"extreme":[151],"cases":[152],"(iii).":[154],"It":[155],"worth":[157],"noting":[158],"same":[161],"task":[163,276],"executed":[164],"different":[166,174],"collection":[167,197,222,283,347],"comes":[172],"costs":[175,186],"terms":[177],"traffic":[179,190],"over":[181],"network.":[183],"Precisely,":[184,261],"these":[185],"refer":[187],"move":[193],"point":[198],"selected":[199],"(e.g.":[200,304],"Cloud)":[205],"induced":[209],"process.":[214],"Until":[215],"now,":[216],"deciding":[217],"if":[218],"use":[220],"points,":[223,284],"which":[225],"they":[227],"should":[228],"order":[231,322,336],"obtain":[234],"target":[236,311,359],"accuracy":[237,272],"minimise":[239,324],"network":[241,288,327],"traffic,":[242],"an":[244,252],"open":[245],"question.":[246],"In":[247],"paper,":[249],"we":[250,262],"propose":[251],"analytical":[253],"framework":[254],"able":[255],"cope":[257],"problem.":[260],"consider":[263],"learning":[264,275,302],"tasks,":[265],"define":[267],"model":[269,291,332],"linking":[270],"certain":[280],"set":[281],"corresponding":[287],"traffic.":[289],"can":[292],"used":[294],"identify,":[296],"given":[297],"specification":[299],"problem":[303],"binary":[305],"classification,":[306],"regression,":[307],"etc.),":[308],"its":[310],"accuracy,":[312],"what":[313],"optimal":[316],"level":[317,344],"total":[326],"cost.":[328],"We":[329],"validate":[330],"our":[331,350],"simulations":[334],"show":[338],"setting,":[340],"simulation,":[342],"indicated":[348],"model,":[351],"leads":[352],"minimum":[355],"cost":[356],"accuracy.":[360]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
