{"id":"https://openalex.org/W2972684890","doi":"https://doi.org/10.1145/3318216.3363304","title":"Collaborative learning between cloud and end devices","display_name":"Collaborative learning between cloud and end devices","publication_year":2019,"publication_date":"2019-11-04","ids":{"openalex":"https://openalex.org/W2972684890","doi":"https://doi.org/10.1145/3318216.3363304","mag":"2972684890"},"language":"en","primary_location":{"id":"doi:10.1145/3318216.3363304","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318216.3363304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM/IEEE Symposium on Edge Computing","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/A5100641095","display_name":"Yan Lu","orcid":"https://orcid.org/0000-0003-0043-4012"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yan Lu","raw_affiliation_strings":["New York University AND Microsoft Research"],"affiliations":[{"raw_affiliation_string":"New York University AND Microsoft Research","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016472874","display_name":"Yuanchao Shu","orcid":"https://orcid.org/0000-0002-9542-7095"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuanchao Shu","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101522533","display_name":"Xu Tan","orcid":"https://orcid.org/0000-0002-6457-5407"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xu Tan","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005597023","display_name":"Yunxin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yunxin Liu","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030021829","display_name":"Mengyu Zhou","orcid":"https://orcid.org/0000-0002-0831-662X"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mengyu Zhou","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340163","display_name":"Qi Chen","orcid":"https://orcid.org/0000-0002-3792-0594"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qi Chen","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046419834","display_name":"Dan Pei","orcid":"https://orcid.org/0000-0002-5113-838X"},"institutions":[{"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":"Dan Pei","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100641095"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":3.9678,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92346262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9972000122070312,"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/cloud-computing","display_name":"Cloud computing","score":0.8241623640060425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8046098947525024},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6959661841392517},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6819857358932495},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.547101616859436},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4932829737663269},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.42680424451828003},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42078855633735657},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.420238733291626},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.41327711939811707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40399160981178284},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33966654539108276},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08567136526107788}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8241623640060425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8046098947525024},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6959661841392517},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6819857358932495},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.547101616859436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4932829737663269},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.42680424451828003},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42078855633735657},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.420238733291626},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.41327711939811707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40399160981178284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33966654539108276},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08567136526107788},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","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:10.1145/3318216.3363304","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318216.3363304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM/IEEE Symposium on Edge Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W264700616","https://openalex.org/W762359108","https://openalex.org/W1821462560","https://openalex.org/W1960683912","https://openalex.org/W1972923980","https://openalex.org/W1975957106","https://openalex.org/W1976040640","https://openalex.org/W1977555135","https://openalex.org/W1987971958","https://openalex.org/W1997430507","https://openalex.org/W2024877464","https://openalex.org/W2034940213","https://openalex.org/W2083842231","https://openalex.org/W2094756095","https://openalex.org/W2099606763","https://openalex.org/W2116612304","https://openalex.org/W2117331546","https://openalex.org/W2136317921","https://openalex.org/W2138302120","https://openalex.org/W2149891651","https://openalex.org/W2153579005","https://openalex.org/W2166706236","https://openalex.org/W2167215970","https://openalex.org/W2168231600","https://openalex.org/W2170505850","https://openalex.org/W2171634212","https://openalex.org/W2184776185","https://openalex.org/W2233116163","https://openalex.org/W2294370754","https://openalex.org/W2297325673","https://openalex.org/W2442974303","https://openalex.org/W2460480794","https://openalex.org/W2463507112","https://openalex.org/W2468875367","https://openalex.org/W2535301535","https://openalex.org/W2535690855","https://openalex.org/W2535838896","https://openalex.org/W2539781657","https://openalex.org/W2541884796","https://openalex.org/W2553915786","https://openalex.org/W2579247884","https://openalex.org/W2585179794","https://openalex.org/W2587694128","https://openalex.org/W2604272474","https://openalex.org/W2604738573","https://openalex.org/W2612191280","https://openalex.org/W2612445135","https://openalex.org/W2622263826","https://openalex.org/W2787017828","https://openalex.org/W2805951947","https://openalex.org/W2906043559","https://openalex.org/W2949095675","https://openalex.org/W2949667497","https://openalex.org/W2950133940","https://openalex.org/W2950248853","https://openalex.org/W2950577311","https://openalex.org/W2950656546","https://openalex.org/W2951890823","https://openalex.org/W2963804082","https://openalex.org/W2963864497","https://openalex.org/W2964222566","https://openalex.org/W2980141581","https://openalex.org/W3102516861","https://openalex.org/W3103203826","https://openalex.org/W4236853429","https://openalex.org/W4244928213","https://openalex.org/W4292122152","https://openalex.org/W6638523607","https://openalex.org/W6638803421","https://openalex.org/W6641317534","https://openalex.org/W6684249991","https://openalex.org/W6686109355","https://openalex.org/W6738591926","https://openalex.org/W6751751081"],"related_works":["https://openalex.org/W1496222301","https://openalex.org/W3207760230","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W4280645561"],"abstract_inverted_index":{"Over":[0],"the":[1,28,44,58,116,120,132,136,189,211],"years,":[2],"numerous":[3],"learning":[4,61,81],"methods":[5],"have":[6],"been":[7],"put":[8],"forward":[9],"to":[10,50,91,101,114,125,134,160],"model":[11,104,150],"and":[12,39,72,89,94,111,127,139,154,157,215],"predict":[13,161],"different":[14],"user":[15,162],"behaviors":[16],"on":[17,62,151,167,198],"end":[18,55],"devices":[19,63,90],"(e.g.,":[20],"ads":[21],"click,":[22],"location":[23],"change,":[24],"app":[25],"launch).":[26],"While":[27],"learn-then-deploy":[29],"approaches":[30],"achieve":[31],"promising":[32],"results":[33,165],"in":[34,43,155],"many":[35],"scenarios,":[36],"data":[37,110,170,205],"heterogeneity":[38],"variability":[40],"throw":[41],"impediment":[42],"way":[45],"of":[46,54,191,213],"deploying":[47],"pre-learned":[48],"models":[49],"a":[51,79,98,147,199,207],"large":[52],"cluster":[53],"devices.":[56],"On":[57],"other":[59],"hand,":[60],"like":[64],"smartphones":[65,153],"suffers":[66],"from":[67,206],"limited":[68],"data,":[69,178],"computing":[70],"power":[71],"energy":[73],"budget.":[74],"This":[75],"paper":[76],"proposes":[77],"Colla,":[78,192],"collaborative":[80],"approach":[82],"for":[83,105],"behavior":[84],"prediction":[85,181],"that":[86,172,194],"allows":[87],"cloud":[88,124],"learn":[92],"collectively":[93],"continuously.":[95],"Colla":[96,145,179],"finds":[97],"middle":[99],"ground":[100],"build":[102],"tailored":[103],"each":[106],"device,":[107],"leveraging":[108],"local":[109],"computation":[112],"resources":[113],"update":[115],"model,":[117],"while":[118],"at":[119,210],"same":[121],"time":[122],"exploits":[123],"aggregate":[126],"transfer":[128],"device-learned":[129],"knowledge":[130],"across":[131],"network":[133],"solve":[135],"cold-start":[137],"problem":[138],"prevent":[140],"over-fitting.":[141],"We":[142],"fully":[143],"implemented":[144],"with":[146,174],"multi-feature":[148],"RNN":[149],"both":[152],"cloud,":[156],"applied":[158],"it":[159],"locations.":[163],"Evaluation":[164],"based":[166],"large-scale":[168],"real":[169],"show":[171],"compared":[173],"training":[175,197],"using":[176],"centralized":[177],"improves":[180],"accuracy":[182],"by":[183],"21%.":[184],"Our":[185],"experiments":[186],"also":[187],"validate":[188],"efficiency":[190],"showing":[193],"one":[195],"overnight":[196],"commodity":[200],"smartphone":[201],"can":[202],"process":[203],"one-year":[204],"typical":[208],"smartphone,":[209],"cost":[212],"2000mWh":[214],"few":[216],"hundreds":[217],"KB":[218],"communication":[219],"overhead.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}