{"id":"https://openalex.org/W3126148059","doi":"https://doi.org/10.1109/icoin50884.2021.9333972","title":"Loss and Energy Tradeoff in Multi-access Edge Computing Enabled Federated Learning","display_name":"Loss and Energy Tradeoff in Multi-access Edge Computing Enabled Federated Learning","publication_year":2021,"publication_date":"2021-01-13","ids":{"openalex":"https://openalex.org/W3126148059","doi":"https://doi.org/10.1109/icoin50884.2021.9333972","mag":"3126148059"},"language":"en","primary_location":{"id":"doi:10.1109/icoin50884.2021.9333972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin50884.2021.9333972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Information Networking (ICOIN)","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/A5010637751","display_name":"Chit Wutyee Zaw","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chit Wutyee Zaw","raw_affiliation_strings":["Kyung Hee University, Yongin-si, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University, Yongin-si, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034052371","display_name":"Choong Seon Hong","orcid":"https://orcid.org/0000-0003-3484-7333"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choong Seon Hong","raw_affiliation_strings":["Kyung Hee University, Yongin-si, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University, Yongin-si, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010637751"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50460489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"597","last_page":"602"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9965000152587891,"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/T13553","display_name":"Age of Information Optimization","score":0.9934999942779541,"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":0.860150933265686},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6881957054138184},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.6724932193756104},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5676314234733582},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5115195512771606},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5077334642410278},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49339237809181213},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4707867503166199},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.43479102849960327},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4143081605434418},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.38278383016586304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2028261125087738},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1928407847881317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.860150933265686},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6881957054138184},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.6724932193756104},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5676314234733582},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5115195512771606},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5077334642410278},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49339237809181213},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4707867503166199},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.43479102849960327},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4143081605434418},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.38278383016586304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2028261125087738},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1928407847881317},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin50884.2021.9333972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin50884.2021.9333972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.800000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2615459164","https://openalex.org/W2920095265","https://openalex.org/W2929520025","https://openalex.org/W3015636663","https://openalex.org/W3021654819","https://openalex.org/W3037582816","https://openalex.org/W3045289476","https://openalex.org/W3045691155","https://openalex.org/W3090615085","https://openalex.org/W3103802018","https://openalex.org/W4294106961","https://openalex.org/W6761590293","https://openalex.org/W6768256413","https://openalex.org/W6771536673"],"related_works":["https://openalex.org/W3154796165","https://openalex.org/W4361251304","https://openalex.org/W2902693277","https://openalex.org/W4378977105","https://openalex.org/W3139051647","https://openalex.org/W3024547383","https://openalex.org/W4210813012","https://openalex.org/W3174690704","https://openalex.org/W2968424451","https://openalex.org/W4221092438"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"encourages":[3],"users":[4,24,50,160],"to":[5,58,95,150,246],"train":[6],"statistical":[7,67],"models":[8],"on":[9,173],"their":[10,29,56],"local":[11,83,234],"devices.":[12],"Since":[13,154],"mobile":[14,87,133,159],"devices":[15],"have":[16,161],"the":[17,23,33,36,59,63,66,72,75,82,86,90,96,100,103,106,110,119,122,125,129,144,147,151,155,162,167,171,174,182,185,189,196,200,223,244,248,253],"limited":[18],"power":[19],"and":[20,105,124,132,158,232,250],"computing":[21,179],"capabilities,":[22],"are":[25,112],"rational":[26],"in":[27,79,165],"minimizing":[28],"energy":[30,107,126,168],"consumption":[31,108,127,137,169],"with":[32,71,81,170],"cost":[34],"of":[35,55,65,74,92,102,109,121,146,184,191,252],"model's":[37],"accuracy.":[38],"Multi-access":[39],"Edge":[40],"Computing":[41],"(MEC)":[42],"enabled":[43,219],"FL":[44,220],"is":[45,69,226],"a":[46,53,205,212,237],"prominent":[47],"approach":[48],"where":[49,62,181,222],"can":[51,138],"offload":[52],"fraction":[54],"dataset":[57,93,148,238],"MEC":[60,77,97,130,152,156,218],"server":[61,78,131,157],"training":[64,84],"model":[68,104,186,225,235],"performed":[70],"help":[73],"powerful":[76],"parallel":[80],"at":[85,128],"users.":[88,134],"With":[89],"size":[91,145,190],"offloaded":[94,149,192],"server,":[98],"both":[99],"performance":[101,120,183,251],"system":[111,123,221],"varied.":[113],"We":[114,210],"analyze":[115,195],"this":[116],"tradeoff":[117,197,249],"between":[118],"The":[135],"time":[136,175],"also":[139],"be":[140],"saved":[141],"by":[142,198],"managing":[143],"server.":[153],"conflicting":[163],"interest":[164],"saving":[166],"constraint":[172],"taken":[176],"for":[177,217,228],"one":[178],"round":[180],"fluctuates":[187],"across":[188],"dataset,":[193],"we":[194,242],"formulating":[199],"resource":[201,214,230],"management":[202,215,231],"problem":[203,216],"as":[204],"penalized":[206],"convex":[207],"optimization":[208],"problem.":[209],"propose":[211],"distributed":[213],"global":[224],"responsible":[227],"radio":[229],"each":[233],"performs":[236],"offloading":[239],"decision.":[240],"Then,":[241],"perform":[243],"simulation":[245],"show":[247],"proposed":[254],"algorithm.":[255]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
