{"id":"https://openalex.org/W4361029924","doi":"https://doi.org/10.1109/jiot.2023.3262582","title":"Situation-Aware Cluster and Quantization Level Selection Algorithm for Fast Federated Learning","display_name":"Situation-Aware Cluster and Quantization Level Selection Algorithm for Fast Federated Learning","publication_year":2023,"publication_date":"2023-03-28","ids":{"openalex":"https://openalex.org/W4361029924","doi":"https://doi.org/10.1109/jiot.2023.3262582"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3262582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3262582","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5041750187","display_name":"Sangwon Seo","orcid":"https://orcid.org/0000-0002-9181-9454"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["KR","SE"],"is_corresponding":true,"raw_author_name":"Sangwon Seo","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea","School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100609351","display_name":"Jaewook Lee","orcid":"https://orcid.org/0009-0000-5028-6017"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaewook Lee","raw_affiliation_strings":["Department of Information and Communication Engineering, Pukyong National University, Busan, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Pukyong National University, Busan, South Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007398507","display_name":"Haneul Ko","orcid":"https://orcid.org/0000-0002-9067-445X"},"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":"Haneul Ko","raw_affiliation_strings":["Department of Electronic Engineering, Kyung Hee University, Yongin, Gyeonggi, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Kyung Hee University, Yongin, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015321839","display_name":"Sangheon Pack","orcid":"https://orcid.org/0000-0002-1085-1568"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangheon Pack","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041750187"],"corresponding_institution_ids":["https://openalex.org/I197347611","https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":1.3917,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84373028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":"15","first_page":"13292","last_page":"13302"},"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/T10237","display_name":"Cryptography and Data Security","score":0.9793999791145325,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9739000201225281,"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/quantization","display_name":"Quantization (signal processing)","score":0.8182436227798462},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7939497232437134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7714827060699463},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.6235568523406982},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.6167482733726501},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5403367280960083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5267509818077087},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4340297281742096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3609431982040405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3491341173648834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3404162526130676}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.8182436227798462},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7939497232437134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7714827060699463},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.6235568523406982},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.6167482733726501},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5403367280960083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5267509818077087},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4340297281742096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3609431982040405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3491341173648834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3404162526130676}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3262582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3262582","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1469737185","display_name":null,"funder_award_id":"2020R1A2C3006786","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G4465320406","display_name":null,"funder_award_id":"2021R1A4A3022102","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1841592590","https://openalex.org/W2276892413","https://openalex.org/W2798720628","https://openalex.org/W2807006176","https://openalex.org/W2945827727","https://openalex.org/W2951213900","https://openalex.org/W2953235111","https://openalex.org/W2989289980","https://openalex.org/W2991236681","https://openalex.org/W2999599167","https://openalex.org/W3021026170","https://openalex.org/W3037871107","https://openalex.org/W3042621011","https://openalex.org/W3045747588","https://openalex.org/W3047304572","https://openalex.org/W3089578458","https://openalex.org/W3090393599","https://openalex.org/W3090615085","https://openalex.org/W3095593352","https://openalex.org/W3101100041","https://openalex.org/W3105122387","https://openalex.org/W3106655949","https://openalex.org/W3109504587","https://openalex.org/W3109847748","https://openalex.org/W3118608800","https://openalex.org/W3129603732","https://openalex.org/W3135231128","https://openalex.org/W3161051256","https://openalex.org/W3162286130","https://openalex.org/W3166492421","https://openalex.org/W3176714321","https://openalex.org/W3184606595","https://openalex.org/W3184838508","https://openalex.org/W3200881607","https://openalex.org/W4205093761","https://openalex.org/W4206358577","https://openalex.org/W4280495338","https://openalex.org/W4288101682","https://openalex.org/W4289147229","https://openalex.org/W4318619660","https://openalex.org/W6638783484","https://openalex.org/W6728757088","https://openalex.org/W6752029299","https://openalex.org/W6753770798","https://openalex.org/W6756756286","https://openalex.org/W6763048141","https://openalex.org/W6768537144","https://openalex.org/W6785662278","https://openalex.org/W6787972765","https://openalex.org/W6789305514","https://openalex.org/W6805400546"],"related_works":["https://openalex.org/W2352648934","https://openalex.org/W2378212145","https://openalex.org/W2100968651","https://openalex.org/W2158420043","https://openalex.org/W2071781501","https://openalex.org/W4243803532","https://openalex.org/W1805748654","https://openalex.org/W3193872944","https://openalex.org/W116978123","https://openalex.org/W1530767163"],"abstract_inverted_index":{"In":[0,88],"federated":[1],"learning":[2,21,26],"(FL),":[3],"which":[4],"clients":[5,96],"and":[6,48,62,82,107,113,121],"quantization":[7,66,83,114],"levels":[8,115],"are":[9],"selected":[10],"for":[11,60],"the":[12,70,74,91,101,109,132],"deep":[13],"model":[14],"parameters":[15],"has":[16],"a":[17,31,56,79],"significant":[18],"impact":[19,102],"on":[20,117],"time":[22,134],"as":[23,25,43],"well":[24],"accuracy.":[27],"This":[28],"is":[29,36],"not":[30],"trivial":[32],"issue":[33],"because":[34],"it":[35],"also":[37],"significantly":[38],"affected":[39],"by":[40,135],"factors,":[41,53],"such":[42],"computational":[44],"power,":[45],"communication":[46],"capacity,":[47],"data":[49,105],"distribution.":[50],"Considering":[51],"these":[52],"we":[54,77],"formulate":[55],"joint":[57],"optimization":[58],"problem":[59],"clustering":[61],"selecting":[63],"clusters":[64,98,112],"with":[65],"levels.":[67],"Due":[68],"to":[69,99,137,140],"high":[71],"complexity":[72],"of":[73,103],"formulated":[75],"problem,":[76],"propose":[78],"situation-aware":[80],"cluster":[81],"level":[84],"selection":[85],"(SITUA-CQ)":[86],"algorithm.":[87],"this":[89],"algorithm,":[90],"FL":[92],"server":[93],"first":[94],"assembles":[95],"into":[97],"mitigate":[100],"biased":[104],"distributions":[106],"determines":[108],"most":[110],"suitable":[111],"based":[116],"their":[118],"computing":[119],"power":[120],"channel":[122],"quality.":[123],"Extensive":[124],"simulation":[125],"results":[126],"show":[127],"that":[128],"SITUA-CQ":[129],"can":[130],"reduce":[131],"round":[133],"up":[136],"80.3%":[138],"compared":[139],"conventional":[141],"algorithms.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}