{"id":"https://openalex.org/W4382053053","doi":"https://doi.org/10.1109/icccs57501.2023.10151071","title":"Scoring Mechanism for Clustering Training in Wireless Federated Learning","display_name":"Scoring Mechanism for Clustering Training in Wireless Federated Learning","publication_year":2023,"publication_date":"2023-04-21","ids":{"openalex":"https://openalex.org/W4382053053","doi":"https://doi.org/10.1109/icccs57501.2023.10151071"},"language":"en","primary_location":{"id":"doi:10.1109/icccs57501.2023.10151071","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccs57501.2023.10151071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Computer and Communication Systems (ICCCS)","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/A5100423435","display_name":"Ye Wang","orcid":"https://orcid.org/0000-0002-0123-1260"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ye Wang","raw_affiliation_strings":["China Mobile Communications Group Jiangsu Co., Ltd,Nanjing,China","China Mobile Communications Group Jiangsu Co., Ltd, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Communications Group Jiangsu Co., Ltd,Nanjing,China","institution_ids":["https://openalex.org/I180662265"]},{"raw_affiliation_string":"China Mobile Communications Group Jiangsu Co., Ltd, Nanjing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103041119","display_name":"Chenhu Zhang","orcid":"https://orcid.org/0009-0004-6349-2345"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhu Zhang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Jiangsu Key Laboratory of Wireless Communications,Nanjing,China","Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Jiangsu Key Laboratory of Wireless Communications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113082513","display_name":"En Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Tong","raw_affiliation_strings":["China Mobile Communications Group Jiangsu Co., Ltd,Nanjing,China","China Mobile Communications Group Jiangsu Co., Ltd, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Communications Group Jiangsu Co., Ltd,Nanjing,China","institution_ids":["https://openalex.org/I180662265"]},{"raw_affiliation_string":"China Mobile Communications Group Jiangsu Co., Ltd, Nanjing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068307922","display_name":"Yiyang Ni","orcid":"https://orcid.org/0000-0001-5893-6854"},"institutions":[{"id":"https://openalex.org/I235331625","display_name":"Jiangsu Second Normal University","ror":"https://ror.org/00e6ytg41","country_code":"CN","type":"education","lineage":["https://openalex.org/I235331625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyang Ni","raw_affiliation_strings":["School of Physics and Information Engineering, Jiangsu Second Normal University,Nanjing,China","School of Physics and Information Engineering, Jiangsu Second Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Information Engineering, Jiangsu Second Normal University,Nanjing,China","institution_ids":["https://openalex.org/I235331625"]},{"raw_affiliation_string":"School of Physics and Information Engineering, Jiangsu Second Normal University, Nanjing, China","institution_ids":["https://openalex.org/I235331625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390094","display_name":"Haitao Zhao","orcid":"https://orcid.org/0000-0002-3539-3532"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Zhao","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Jiangsu Key Laboratory of Wireless Communications,Nanjing,China","Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Jiangsu Key Laboratory of Wireless Communications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075408600","display_name":"Wenchao Xia","orcid":"https://orcid.org/0000-0001-6245-0347"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenchao Xia","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Jiangsu Key Laboratory of Wireless Communications,Nanjing,China","Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Jiangsu Key Laboratory of Wireless Communications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100423435"],"corresponding_institution_ids":["https://openalex.org/I180662265"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06282472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"856","last_page":"861"},"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":0.9822999835014343,"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":0.954800009727478,"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":0.8696070909500122},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8051531314849854},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.6467504501342773},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5062252879142761},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4639413356781006},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44402745366096497},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4289950430393219},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4122551679611206},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3931390345096588},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3648655116558075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3320806622505188},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.24290701746940613},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.1844833791255951}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8696070909500122},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8051531314849854},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.6467504501342773},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5062252879142761},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4639413356781006},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44402745366096497},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4289950430393219},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4122551679611206},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3931390345096588},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3648655116558075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3320806622505188},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.24290701746940613},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.1844833791255951},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs57501.2023.10151071","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccs57501.2023.10151071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2955213239","https://openalex.org/W3015574552","https://openalex.org/W3015636663","https://openalex.org/W3021654819","https://openalex.org/W3045611708","https://openalex.org/W3099106497","https://openalex.org/W3107965923","https://openalex.org/W3113075536","https://openalex.org/W3119842887","https://openalex.org/W3130377495","https://openalex.org/W3130503957","https://openalex.org/W3140722389","https://openalex.org/W3176294990","https://openalex.org/W3208257293","https://openalex.org/W3208293033","https://openalex.org/W4287647398","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6765541894","https://openalex.org/W6784048413"],"related_works":["https://openalex.org/W2187492663","https://openalex.org/W4290987788","https://openalex.org/W2368219397","https://openalex.org/W3004596345","https://openalex.org/W2959625647","https://openalex.org/W2503866109","https://openalex.org/W2314379296","https://openalex.org/W3168814018","https://openalex.org/W2186523764","https://openalex.org/W2394022327"],"abstract_inverted_index":{"Federated":[0],"learning":[1,6],"(FL)":[2],"is":[3,33,107],"a":[4,93],"distributed":[5],"framework,":[7],"which":[8],"can":[9],"be":[10],"widely":[11],"applied":[12],"into":[13,63,71],"wireless":[14,30],"networks":[15],"to":[16,27,39,109],"improve":[17],"network":[18],"intelligence":[19],"without":[20],"disclosing":[21],"users'":[22],"private":[23],"data.":[24],"However,":[25],"due":[26],"the":[28,54,60,111,115,124,127],"scarce":[29],"resources,":[31],"it":[32],"inefficient":[34],"for":[35],"massive":[36],"user":[37,69,97],"devices":[38,70,116],"participate":[40],"in":[41,49,117,132],"FL":[42],"training":[43,61,105,138],"simultaneously.":[44],"To":[45],"address":[46],"this":[47,50],"challenge,":[48],"work,":[51],"we":[52,67],"introduce":[53],"client":[55,129],"clustering":[56,130],"scheme":[57],"and":[58,84,104,137],"decompose":[59],"process":[62],"two":[64],"stages.":[65],"Firstly,":[66],"divide":[68],"different":[72],"clusters":[73],"based":[74],"on":[75],"Density-Based":[76],"Spatial":[77],"Clustering":[78,88],"of":[79,126,134],"Applications":[80],"with":[81],"Noise":[82],"(DBSCAN)":[83],"Low":[85],"Energy":[86],"Adaptive":[87],"Hierarchy":[89],"(LEACH)":[90],"algorithms.":[91],"Then":[92],"scoring":[94],"mechanism":[95],"considering":[96],"devices'":[98],"locations,":[99],"velocities,":[100],"link":[101],"retention":[102],"time,":[103],"latency":[106],"proposed":[108,128],"determine":[110],"cluster":[112],"head":[113],"among":[114],"each":[118],"cluster.":[119],"Finally,":[120],"simulation":[121],"results":[122],"validate":[123],"performance":[125],"method":[131],"terms":[133],"model":[135],"accuracy":[136],"latency.":[139]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
