{"id":"https://openalex.org/W4394750287","doi":"https://doi.org/10.3390/s24082476","title":"Federated Learning with Pareto Optimality for Resource Efficiency and Fast Model Convergence in Mobile Environments","display_name":"Federated Learning with Pareto Optimality for Resource Efficiency and Fast Model Convergence in Mobile Environments","publication_year":2024,"publication_date":"2024-04-12","ids":{"openalex":"https://openalex.org/W4394750287","doi":"https://doi.org/10.3390/s24082476","pmid":"https://pubmed.ncbi.nlm.nih.gov/38676094"},"language":"en","primary_location":{"id":"doi:10.3390/s24082476","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24082476","pdf_url":"https://www.mdpi.com/1424-8220/24/8/2476/pdf?version=1712914740","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/8/2476/pdf?version=1712914740","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000214534","display_name":"June-Pyo Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"June-Pyo Jung","raw_affiliation_strings":["Department of AI Convergence Network, Ajou Univeristy, 206, World Cup-ro, Suwon-si 16499, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-2113-4676","affiliations":[{"raw_affiliation_string":"Department of AI Convergence Network, Ajou Univeristy, 206, World Cup-ro, Suwon-si 16499, Republic of Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073276900","display_name":"Young\u2010Bae Ko","orcid":"https://orcid.org/0000-0002-8799-1761"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Young-Bae Ko","raw_affiliation_strings":["Department of AI Convergence Network, Ajou Univeristy, 206, World Cup-ro, Suwon-si 16499, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-8799-1761","affiliations":[{"raw_affiliation_string":"Department of AI Convergence Network, Ajou Univeristy, 206, World Cup-ro, Suwon-si 16499, Republic of Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073740219","display_name":"Sung\u2010Hwa Lim","orcid":"https://orcid.org/0000-0002-9783-9050"},"institutions":[{"id":"https://openalex.org/I129672417","display_name":"Namseoul University","ror":"https://ror.org/0509ndt57","country_code":"KR","type":"education","lineage":["https://openalex.org/I129672417"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Hwa Lim","raw_affiliation_strings":["Department of Multimedia, Namseoul University, 91, Daehak-ro, Cheonan-si 31020, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-9783-9050","affiliations":[{"raw_affiliation_string":"Department of Multimedia, Namseoul University, 91, Daehak-ro, Cheonan-si 31020, Republic of Korea","institution_ids":["https://openalex.org/I129672417"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073276900"],"corresponding_institution_ids":["https://openalex.org/I57664883"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.5734,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84974937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"24","issue":"8","first_page":"2476","last_page":"2476"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9934999942779541,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7638842463493347},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7028326988220215},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6503000855445862},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5753005146980286},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5620530247688293},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5177773237228394},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.517379641532898},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4881783127784729},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4179626703262329},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.36447444558143616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2941502332687378},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.25572848320007324},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1049649715423584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7638842463493347},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7028326988220215},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6503000855445862},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5753005146980286},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5620530247688293},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5177773237228394},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.517379641532898},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4881783127784729},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4179626703262329},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.36447444558143616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2941502332687378},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.25572848320007324},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1049649715423584},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24082476","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24082476","pdf_url":"https://www.mdpi.com/1424-8220/24/8/2476/pdf?version=1712914740","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38676094","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38676094","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11055128","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11055128","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11055128/pdf/sensors-24-02476.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:636f1c315bb64cb783118dc3541684e4","is_oa":false,"landing_page_url":"https://doaj.org/article/636f1c315bb64cb783118dc3541684e4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 8, p 2476 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24082476","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24082476","pdf_url":"https://www.mdpi.com/1424-8220/24/8/2476/pdf?version=1712914740","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.6299999952316284,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G5889180643","display_name":null,"funder_award_id":"NRF-2020R1A2C1102284","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7196017367","display_name":null,"funder_award_id":"NRF-2021R1A2C1012776","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394750287.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W417516028","https://openalex.org/W1442374986","https://openalex.org/W2002406241","https://openalex.org/W2046526308","https://openalex.org/W2199499977","https://openalex.org/W2320062270","https://openalex.org/W2472333518","https://openalex.org/W2541884796","https://openalex.org/W2798720628","https://openalex.org/W2801805628","https://openalex.org/W2962788286","https://openalex.org/W2963318081","https://openalex.org/W3038028469","https://openalex.org/W3047079385","https://openalex.org/W3105122387","https://openalex.org/W3116579057","https://openalex.org/W3128744422","https://openalex.org/W3155415667","https://openalex.org/W3155963862","https://openalex.org/W3157262134","https://openalex.org/W3160851275","https://openalex.org/W3203818865","https://openalex.org/W3204183032","https://openalex.org/W3213859843","https://openalex.org/W4225926344","https://openalex.org/W4293094818","https://openalex.org/W4376272451","https://openalex.org/W4386918966","https://openalex.org/W6759226220","https://openalex.org/W6802667569"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W1975289146","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2393816671","https://openalex.org/W2158836806","https://openalex.org/W2083665254","https://openalex.org/W1926736923"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7],"(FL)":[2],"is":[3,52,90],"an":[4],"emerging":[5],"distributed":[6],"technique":[8],"through":[9],"which":[10,40],"models":[11,44],"can":[12],"be":[13],"trained":[14,47],"using":[15,48,180],"the":[16,36,42,62,66,73,76,94,97,103,107,116,128,145,150,191,208],"data":[17],"collected":[18],"by":[19,201],"user":[20,27,50,82],"devices":[21],"in":[22,93],"resource-constrained":[23],"situations":[24],"while":[25],"protecting":[26],"privacy.":[28],"However,":[29],"FL":[30,141,220],"has":[31],"three":[32],"main":[33],"limitations:":[34],"First,":[35],"parameter":[37],"server":[38],"(PS),":[39],"aggregates":[41],"local":[43,49,69,98],"that":[45,186],"are":[46,85],"data,":[51],"typically":[53],"far":[54],"from":[55],"users.":[56],"The":[57,122],"large":[58,129],"distance":[59],"may":[60],"burden":[61],"path":[63],"links":[64,109,123],"between":[65],"PS":[67],"and":[68,78,100,163,197,203,225],"nodes,":[70],"thereby":[71,158],"increasing":[72],"consumption":[74,162],"of":[75,96,102,118,131],"network":[77,199],"computing":[79],"resources.":[80],"Second,":[81],"device":[83],"resources":[84],"limited,":[86],"but":[87],"this":[88,135],"aspect":[89],"not":[91],"considered":[92],"training":[95],"model":[99,104,132,165,215],"transmission":[101],"parameters.":[105,133],"Third,":[106],"PS-side":[108],"tend":[110],"to":[111,127,154,207,218],"become":[112,124],"highly":[113],"loaded":[114],"as":[115,223],"number":[117],"participating":[119],"clients":[120],"increases.":[121],"congested":[125],"owing":[126],"size":[130],"In":[134,167],"study,":[136],"we":[137,169],"propose":[138,170],"a":[139,171],"resource-efficient":[140],"scheme.":[142],"We":[143],"follow":[144],"Pareto":[146],"optimality":[147],"concept":[148],"with":[149,174,187],"biased":[151],"client":[152,156],"selection":[153],"limit":[155],"participation,":[157],"ensuring":[159],"efficient":[160],"resource":[161],"rapid":[164],"convergence.":[166],"addition,":[168],"hierarchical":[172],"structure":[173],"location-based":[175],"clustering":[176],"for":[177],"device-to-device":[178],"communication":[179],"k-means":[181],"clustering.":[182],"Simulation":[183],"results":[184],"show":[185],"prate":[188],"at":[189],"0.75,":[190],"proposed":[192],"scheme":[193],"effectively":[194],"reduced":[195],"transmitted":[196],"received":[198],"traffic":[200],"75.89%":[202],"78.77%,":[204],"respectively,":[205],"compared":[206,217],"FedAvg":[209,224],"method.":[210],"It":[211],"also":[212],"achieves":[213],"faster":[214],"convergence":[216],"other":[219],"mechanisms,":[221],"such":[222],"D2D-FedAvg.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
