{"id":"https://openalex.org/W4391935926","doi":"https://doi.org/10.1109/tmc.2024.3366947","title":"FedUC: A Unified Clustering Approach for Hierarchical Federated Learning","display_name":"FedUC: A Unified Clustering Approach for Hierarchical Federated Learning","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4391935926","doi":"https://doi.org/10.1109/tmc.2024.3366947"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2024.3366947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3366947","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Mobile Computing","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/A5090508439","display_name":"Qianpiao Ma","orcid":"https://orcid.org/0000-0001-8684-3495"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianpiao Ma","raw_affiliation_strings":["Purple Mountain Laboratories, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018803737","display_name":"Yang Xu","orcid":"https://orcid.org/0000-0003-0839-3892"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Xu","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou, Jiangsu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063184427","display_name":"Hongli Xu","orcid":"https://orcid.org/0000-0003-3831-4577"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Xu","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou, Jiangsu, China","School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou, Jiangsu, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071164333","display_name":"Jianchun Liu","orcid":"https://orcid.org/0000-0002-1764-9303"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchun Liu","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou, Jiangsu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019604942","display_name":"Liusheng Huang","orcid":"https://orcid.org/0000-0001-8417-3256"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liusheng Huang","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou, Jiangsu, China","School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou, Jiangsu, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090508439"],"corresponding_institution_ids":["https://openalex.org/I4210155350"],"apc_list":null,"apc_paid":null,"fwci":9.7465,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.98369681,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"23","issue":"10","first_page":"9737","last_page":"9756"},"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":0.9904999732971191,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9894999861717224,"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":0.8719495534896851},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6529458165168762},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.44421249628067017},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3208300471305847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31434834003448486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8719495534896851},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6529458165168762},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.44421249628067017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3208300471305847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31434834003448486}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2024.3366947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3366947","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1970151165","display_name":null,"funder_award_id":"92367104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3067006959","display_name":null,"funder_award_id":"92267301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G645416012","display_name":null,"funder_award_id":"62132019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W2016937404","https://openalex.org/W2080346852","https://openalex.org/W2083842231","https://openalex.org/W2112796928","https://openalex.org/W2131496831","https://openalex.org/W2145417574","https://openalex.org/W2400861403","https://openalex.org/W2603810864","https://openalex.org/W2617960902","https://openalex.org/W2624989916","https://openalex.org/W2798720628","https://openalex.org/W2807006176","https://openalex.org/W2913871603","https://openalex.org/W2920095265","https://openalex.org/W2921434559","https://openalex.org/W2955213239","https://openalex.org/W2963318081","https://openalex.org/W2966683668","https://openalex.org/W2989289980","https://openalex.org/W3004277316","https://openalex.org/W3015613093","https://openalex.org/W3021654819","https://openalex.org/W3037047862","https://openalex.org/W3037871107","https://openalex.org/W3038057116","https://openalex.org/W3093683422","https://openalex.org/W3105122387","https://openalex.org/W3109847748","https://openalex.org/W3111182214","https://openalex.org/W3111852556","https://openalex.org/W3118608800","https://openalex.org/W3128382687","https://openalex.org/W3136022984","https://openalex.org/W3152624284","https://openalex.org/W3153537487","https://openalex.org/W3155963862","https://openalex.org/W3157262134","https://openalex.org/W3172018708","https://openalex.org/W3178176830","https://openalex.org/W3187356235","https://openalex.org/W3203503583","https://openalex.org/W3206114081","https://openalex.org/W3207233526","https://openalex.org/W3213161637","https://openalex.org/W4200634323","https://openalex.org/W4210712880","https://openalex.org/W4213251304","https://openalex.org/W4233565207","https://openalex.org/W4236362309","https://openalex.org/W6605479355","https://openalex.org/W6683635070","https://openalex.org/W6728757088","https://openalex.org/W6738250615","https://openalex.org/W6739554518","https://openalex.org/W6748304459","https://openalex.org/W6752029299","https://openalex.org/W6755251367","https://openalex.org/W6759238902","https://openalex.org/W6760214840","https://openalex.org/W6765541894","https://openalex.org/W6768537144","https://openalex.org/W6784324385","https://openalex.org/W6787021209","https://openalex.org/W6787972765","https://openalex.org/W6793650020"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3200375535"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"is":[3,73],"an":[4],"effective":[5],"approach":[6,101],"to":[7,61,75,78,166],"train":[8],"models":[9,176],"collaboratively":[10],"among":[11],"distributed":[12],"edge":[13,22,50,81],"nodes":[14],"(i.e.,":[15],"workers)":[16],"while":[17,52],"facing":[18],"three":[19],"crucial":[20],"challenges,":[21],"heterogeneity,":[23,51],"resource":[24],"constraint,":[25],"and":[26,44,83,132,148,177],"Non-IID":[27],"data.":[28],"Under":[29],"the":[30,41,49,53,80,90,121,125,156,185,195],"parameter":[31,37],"server":[32,38],"(PS)":[33],"architecture,":[34],"a":[35,98,161],"single":[36],"may":[39],"become":[40],"system":[42],"bottleneck":[43],"cannot":[45,96],"well":[46],"deal":[47],"with":[48,194],"peer-to-peer":[54],"(P2P)":[55],"architecture":[56,72,95],"causes":[57],"significant":[58],"communication":[59,85],"consumption":[60,86],"achieve":[62],"satisfactory":[63],"training":[64,187],"performance.":[65],"To":[66],"this":[67,117],"end,":[68],"hierarchical":[69],"aggregation":[70,105,144],"(HA)":[71],"proposed":[74],"cluster":[76],"workers":[77,168],"tackle":[79],"heterogeneity":[82],"reduce":[84],"for":[87,102,169],"FL.":[88],"However,":[89],"existing":[91],"researches":[92],"on":[93,155,174],"HA":[94],"provide":[97],"unified":[99,162],"clustering":[100,163,197],"various":[103],"inter-cluster":[104,130,143,149],"patterns":[106,131,190],"(e.g.,":[107],"centralized":[108],"or":[109,113],"decentralized":[110,152],"structure,":[111],"synchronous":[112],"asynchronous":[114,146],"mode).":[115],"In":[116],"paper,":[118],"we":[119,159],"explore":[120],"quantitative":[122],"relationship":[123],"between":[124],"convergence":[126,157],"bounds":[127],"of":[128,139,188],"different":[129,170,189],"several":[133],"factors,":[134],"e.g.,":[135],"data":[136],"distribution,":[137],"frequency":[138],"clusters":[140],"participating":[141],"in":[142],"(for":[145,151],"modes),":[147],"topology":[150],"structures).":[153],"Based":[154],"bounds,":[158],"design":[160],"algorithm":[164],"FedUC":[165,181],"organize":[167],"patterns.":[171],"Experimental":[172],"results":[173],"classical":[175],"datasets":[178],"show":[179],"that":[180],"can":[182],"greatly":[183],"accelerate":[184],"model":[186],"by":[191],"1.79-7.39\u00d7":[192],"compared":[193],"state-of-the-art":[196],"methods.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
