{"id":"https://openalex.org/W4226389395","doi":"https://doi.org/10.1145/3477314.3508380","title":"Improving response time of home IoT services in federated learning","display_name":"Improving response time of home IoT services in federated learning","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4226389395","doi":"https://doi.org/10.1145/3477314.3508380"},"language":"en","primary_location":{"id":"doi:10.1145/3477314.3508380","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477314.3508380","pdf_url":null,"source":{"id":"https://openalex.org/S4363608665","display_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2202.13626","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089047378","display_name":"Dongjun Hwang","orcid":"https://orcid.org/0000-0001-9805-926X"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dongjun Hwang","raw_affiliation_strings":["Chungnam National University, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Chungnam National University, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084159131","display_name":"Hyunsu Mun","orcid":"https://orcid.org/0000-0003-0644-5054"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunsu Mun","raw_affiliation_strings":["Chungnam National University, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Chungnam National University, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100701668","display_name":"Youngseok Lee","orcid":"https://orcid.org/0000-0002-3015-5922"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngseok Lee","raw_affiliation_strings":["Chungnam National University, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Chungnam National University, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089047378"],"corresponding_institution_ids":["https://openalex.org/I196345858"],"apc_list":null,"apc_paid":null,"fwci":0.733,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7020194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9979000091552734,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9959999918937683,"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":0.8598681688308716},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.7209035158157349},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6042746305465698},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.5640053749084473},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5509072542190552},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.43607813119888306},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.43199318647384644},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.4260711073875427},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.42222100496292114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39092332124710083},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.37502336502075195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3598688542842865},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22236040234565735},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13962239027023315},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13864484429359436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8598681688308716},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.7209035158157349},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6042746305465698},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.5640053749084473},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5509072542190552},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.43607813119888306},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.43199318647384644},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.4260711073875427},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.42222100496292114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39092332124710083},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37502336502075195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3598688542842865},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22236040234565735},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13962239027023315},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13864484429359436}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3477314.3508380","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477314.3508380","pdf_url":null,"source":{"id":"https://openalex.org/S4363608665","display_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2202.13626","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2202.13626","pdf_url":"https://arxiv.org/pdf/2202.13626","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2202.13626","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2202.13626","pdf_url":"https://arxiv.org/pdf/2202.13626","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2744999500","https://openalex.org/W2761330267","https://openalex.org/W2783000019","https://openalex.org/W2891812095","https://openalex.org/W2900120080","https://openalex.org/W2911752833","https://openalex.org/W2955425717","https://openalex.org/W2974306260","https://openalex.org/W3013176733","https://openalex.org/W3021026170","https://openalex.org/W3027176637","https://openalex.org/W3038932755","https://openalex.org/W3103323991","https://openalex.org/W3138086091","https://openalex.org/W3148515490","https://openalex.org/W3160002180"],"related_works":["https://openalex.org/W4286971788","https://openalex.org/W3199340467","https://openalex.org/W3157608626","https://openalex.org/W3132132958","https://openalex.org/W4321612632","https://openalex.org/W4322580403","https://openalex.org/W3193217249","https://openalex.org/W4280591108","https://openalex.org/W3021849752","https://openalex.org/W4286891119"],"abstract_inverted_index":{"For":[0],"intelligent":[1],"home":[2,66,118,127,163],"IoT":[3,14,67,70,111,164],"services":[4],"with":[5,138,193],"sensors":[6],"and":[7,100,130,141,148,169],"machine":[8,29],"learning,":[9,34],"we":[10,107,156,188],"need":[11],"to":[12,16,86,96,144,182],"upload":[13],"data":[15,24,37,98,146,149],"the":[17,39,42,61,79,88,122,126,159,174,179,208],"cloud":[18],"server":[19],"which":[20,203],"cannot":[21],"share":[22],"private":[23],"for":[25,51,114,166],"training.":[26],"A":[27],"recent":[28],"learning":[30,48,93,117,136,140,176,192,195],"approach,":[31],"called":[32],"federated":[33,47,92,116,135,175,191],"keeps":[35],"user":[36,123,167],"on":[38],"device":[40],"in":[41,58,65,78,125],"distributed":[43],"computing":[44],"environment.":[45],"Though":[46],"is":[49,84,204],"useful":[50],"protecting":[52],"privacy,":[53],"it":[54,83],"experiences":[55],"poor":[56],"performance":[57],"terms":[59],"of":[60,91,162,198,207],"end-to-end":[62],"response":[63,180],"time":[64,181],"services,":[68],"because":[69],"devices":[71,165],"are":[72],"usually":[73],"controlled":[74],"by":[75,173],"remote":[76],"servers":[77],"cloud.":[80],"In":[81,104],"addition,":[82],"difficult":[85],"achieve":[87],"high":[89],"accuracy":[90,199],"models":[94],"due":[95],"insufficient":[97],"problems":[99],"model":[101,150],"inversion":[102,151],"attacks.":[103],"this":[105],"paper,":[106],"propose":[108],"a":[109,115,134],"local":[110,160],"control":[112,161,170],"method":[113],"service":[119],"that":[120,158,190],"recognizes":[121],"behavior":[124],"network":[128],"quickly":[129],"accurately.":[131],"We":[132],"present":[133],"client":[137],"transfer":[139,194],"differential":[142],"privacy":[143],"solve":[145],"scarcity":[147],"attack":[152],"problems.":[153],"From":[154],"experiments,":[155],"show":[157],"authentication":[168],"message":[171],"transmission":[172],"clients":[177],"improves":[178],"less":[183],"than":[184],"1":[185],"second.":[186],"Moreover,":[187],"demonstrate":[189],"achieves":[196],"97%":[197],"under":[200],"9,000":[201],"samples,":[202],"only":[205],"2%":[206],"difference":[209],"from":[210],"centralized":[211],"learning.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
