{"id":"https://openalex.org/W4399336288","doi":"https://doi.org/10.1109/tmc.2024.3409159","title":"Multi-Level Personalized Federated Learning on Heterogeneous and Long-Tailed Data","display_name":"Multi-Level Personalized Federated Learning on Heterogeneous and Long-Tailed Data","publication_year":2024,"publication_date":"2024-06-04","ids":{"openalex":"https://openalex.org/W4399336288","doi":"https://doi.org/10.1109/tmc.2024.3409159"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2024.3409159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3409159","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/A5101803269","display_name":"Rongyu Zhang","orcid":"https://orcid.org/0000-0002-9174-1765"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongyu Zhang","raw_affiliation_strings":["Future Network of Intelligence Institute (FNii) and School of Science and Engineering (SSE), The Chinese University of Hong Kong, Shenzhen, Guangdong, China","Future Network of Intelligence Institute (FNii) and the School of Science and Engineering SSE), The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9174-1765","affiliations":[{"raw_affiliation_string":"Future Network of Intelligence Institute (FNii) and School of Science and Engineering (SSE), The Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Future Network of Intelligence Institute (FNii) and the School of Science and Engineering SSE), The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116319491","display_name":"Yun Chen","orcid":"https://orcid.org/0000-0001-7497-0817"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Chen","raw_affiliation_strings":["Future Network of Intelligence Institute (FNii) and School of Science and Engineering (SSE), The Chinese University of Hong Kong, Shenzhen, Guangdong, China","Future Network of Intelligence Institute (FNii) and the School of Science and Engineering SSE), The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Future Network of Intelligence Institute (FNii) and School of Science and Engineering (SSE), The Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Future Network of Intelligence Institute (FNii) and the School of Science and Engineering SSE), The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008341072","display_name":"Chenrui Wu","orcid":"https://orcid.org/0000-0002-8349-2682"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenrui Wu","raw_affiliation_strings":["Future Network of Intelligence Institute (FNii) and School of Science and Engineering (SSE), The Chinese University of Hong Kong, Shenzhen, Guangdong, China","Future Network of Intelligence Institute (FNii) and the School of Science and Engineering SSE), The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8349-2682","affiliations":[{"raw_affiliation_string":"Future Network of Intelligence Institute (FNii) and School of Science and Engineering (SSE), The Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Future Network of Intelligence Institute (FNii) and the School of Science and Engineering SSE), The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101686970","display_name":"Fangxin Wang","orcid":"https://orcid.org/0000-0003-2559-045X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangxin Wang","raw_affiliation_strings":["School of Science and Engineering (SSE), the Future Network of Intelligence Institute (FNii) and Guangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong, Shenzhen, Guangdong, China","Guangdong Provincial Key Laboratory of Future Networks of Intelligence, China","School of Science and Engineering SSE) and the Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2559-045X","affiliations":[{"raw_affiliation_string":"School of Science and Engineering (SSE), the Future Network of Intelligence Institute (FNii) and Guangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Future Networks of Intelligence, China","institution_ids":[]},{"raw_affiliation_string":"School of Science and Engineering SSE) and the Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bo Li","orcid":"https://orcid.org/0000-0003-2083-9105"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-2083-9105","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.6837,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.97729202,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"23","issue":"12","first_page":"12396","last_page":"12409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9962000250816345,"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":0.9962000250816345,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9549999833106995,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.932699978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8454753160476685},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3823056221008301},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3797927498817444}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8454753160476685},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3823056221008301},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3797927498817444}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmc.2024.3409159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3409159","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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-146209","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-146209","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3004386410","display_name":null,"funder_award_id":"2023A1515012668","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6352250275","display_name":null,"funder_award_id":"62293482","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"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1987971958","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2585528949","https://openalex.org/W2797372563","https://openalex.org/W2797977484","https://openalex.org/W2902426498","https://openalex.org/W2910763180","https://openalex.org/W2912213068","https://openalex.org/W2945827670","https://openalex.org/W2963351448","https://openalex.org/W2970602317","https://openalex.org/W2970825779","https://openalex.org/W2982083293","https://openalex.org/W3021654819","https://openalex.org/W3026934400","https://openalex.org/W3034601242","https://openalex.org/W3034711780","https://openalex.org/W3038859893","https://openalex.org/W3047304572","https://openalex.org/W3080934299","https://openalex.org/W3091635927","https://openalex.org/W3096688134","https://openalex.org/W3155189475","https://openalex.org/W3179096061","https://openalex.org/W3202232857","https://openalex.org/W4225399801","https://openalex.org/W4242979483","https://openalex.org/W4285603347","https://openalex.org/W4362654419","https://openalex.org/W4366352743","https://openalex.org/W4379382589","https://openalex.org/W4382239439","https://openalex.org/W4386071603","https://openalex.org/W4386159265","https://openalex.org/W4386159802","https://openalex.org/W4387914651","https://openalex.org/W4403780913","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6743688258","https://openalex.org/W6752029299","https://openalex.org/W6757292943","https://openalex.org/W6759238902","https://openalex.org/W6763891446","https://openalex.org/W6764733053","https://openalex.org/W6765541894","https://openalex.org/W6768537144","https://openalex.org/W6768920361","https://openalex.org/W6773817997","https://openalex.org/W6781318954","https://openalex.org/W6787972765","https://openalex.org/W6790034021","https://openalex.org/W6791102956","https://openalex.org/W6791444617","https://openalex.org/W6839362776","https://openalex.org/W6851157916"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Federated":[0,73],"learning":[1,7],"(FL)":[2],"offers":[3],"a":[4],"privacy-centric":[5],"distributed":[6],"framework,":[8,70],"enabling":[9],"model":[10,62],"training":[11,46,176],"on":[12,61,144],"individual":[13],"clients":[14],"and":[15,29,64,105,121,130,151,163,174,189],"central":[16],"aggregation":[17],"without":[18],"necessitating":[19],"data":[20,59,138],"exchange.":[21],"Nonetheless,":[22],"FL":[23,69,82],"implementations":[24],"often":[25],"suffer":[26],"from":[27],"non-i.i.d.":[28,162],"long-tailed":[30],"class":[31],"distributions":[32],"across":[33],"mobile":[34],"applications,":[35],"e.g.,":[36],"autonomous":[37],"vehicles,":[38],"which":[39,76,166],"leads":[40],"models":[41,116,132],"to":[42,49,83,102,113,127,179],"overfitting":[43,104],"as":[44,170,172],"local":[45,115,137],"may":[47],"converge":[48],"sub-optimal.":[50],"In":[51],"our":[52],"study,":[53],"we":[54],"explore":[55],"the":[56,78],"impact":[57],"of":[58,81],"heterogeneity":[60],"bias":[63],"introduce":[65],"an":[66],"innovative":[67],"personalized":[68],"Multi-level":[71],"Personalized":[72],"Learning":[74],"(MuPFL),":[75],"leverages":[77],"hierarchical":[79],"architecture":[80],"fully":[84],"harness":[85],"computational":[86],"resources":[87],"at":[88,181],"various":[89],"levels.":[90],"This":[91],"framework":[92],"integrates":[93],"three":[94],"pivotal":[95],"modules:":[96],"Biased":[97],"Activation":[98],"Value":[99],"Dropout":[100],"(BAVD)":[101],"mitigate":[103],"accelerate":[106],"training;":[107],"Adaptive":[108],"Cluster-based":[109],"Model":[110],"Update":[111],"(ACMU)":[112],"refine":[114],"ensuring":[117],"coherent":[118],"global":[119],"aggregation;":[120],"Prior":[122],"Knowledge-assisted":[123],"Classifier":[124],"Fine-tuning":[125],"(PKCF)":[126],"bolster":[128],"classification":[129,150],"personalize":[131],"in":[133,186],"accord":[134],"with":[135,139],"skewed":[136],"shared":[140],"knowledge.":[141],"Extensive":[142],"experiments":[143],"diverse":[145],"real-world":[146],"datasets":[147],"for":[148],"image":[149],"semantic":[152],"segmentation":[153],"validate":[154],"thatMuPFLconsistently":[155],"outperforms":[156],"state-of-the-art":[157],"baselines,":[158],"even":[159],"under":[160],"extreme":[161],"long-tail":[164],"conditions,":[165],"enhances":[167],"accuracy":[168],"by":[169,177],"much":[171],"7.39%":[173],"accelerates":[175],"up":[178],"80%":[180],"most,":[182],"marking":[183],"significant":[184],"advancements":[185],"both":[187],"efficiency":[188],"effectiveness.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":7}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}