{"id":"https://openalex.org/W4387914651","doi":"https://doi.org/10.1109/mnet.008.2200654","title":"Optimizing Efficient Personalized Federated Learning with Hypernetworks at Edge","display_name":"Optimizing Efficient Personalized Federated Learning with Hypernetworks at Edge","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4387914651","doi":"https://doi.org/10.1109/mnet.008.2200654"},"language":"en","primary_location":{"id":"doi:10.1109/mnet.008.2200654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.008.2200654","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","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/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongyu Zhang","raw_affiliation_strings":["Chinese University of Hong Kong,China","Chinese University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong,China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Chinese University of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"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/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Chen","raw_affiliation_strings":["Chinese University of Hong Kong,China","Chinese University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong,China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Chinese University of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"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/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenrui Wu","raw_affiliation_strings":["Chinese University of Hong Kong,China","Chinese University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong,China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Chinese University of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"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/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangxin Wang","raw_affiliation_strings":["Chinese University of Hong Kong,China","Chinese University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong,China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Chinese University of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039311485","display_name":"Jiangchuan Liu","orcid":"https://orcid.org/0000-0001-6592-1984"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiangchuan Liu","raw_affiliation_strings":["Simon Fraser University,Canda","Simon Fraser University, Canda"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University,Canda","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Simon Fraser University, Canda","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101803269"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":1.9231,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88903437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"37","issue":"4","first_page":"120","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9575999975204468,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9434999823570251,"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":0.8758217096328735},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.657774806022644},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6240178942680359},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6158498525619507},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.5986703634262085},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5743012428283691},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5630128979682922},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.488118976354599},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.47581297159194946},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42378613352775574},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41803601384162903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35534876585006714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3281250298023224},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.2612221837043762},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21605950593948364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8758217096328735},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.657774806022644},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6240178942680359},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6158498525619507},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5986703634262085},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5743012428283691},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5630128979682922},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.488118976354599},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.47581297159194946},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42378613352775574},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41803601384162903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35534876585006714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3281250298023224},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.2612221837043762},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21605950593948364},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mnet.008.2200654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.008.2200654","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2962804345","https://openalex.org/W3038022836","https://openalex.org/W3123459983","https://openalex.org/W3131796779","https://openalex.org/W3134083542","https://openalex.org/W3156467244","https://openalex.org/W3164271417","https://openalex.org/W3166140269","https://openalex.org/W3188215776","https://openalex.org/W3212010319","https://openalex.org/W4285070849","https://openalex.org/W4285762978","https://openalex.org/W4315630377","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6759238902","https://openalex.org/W6779174293","https://openalex.org/W6791189488","https://openalex.org/W6799246147"],"related_works":["https://openalex.org/W4303448918","https://openalex.org/W4308945107","https://openalex.org/W4322761281","https://openalex.org/W4319453716","https://openalex.org/W4238233472","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3106131444","https://openalex.org/W3216099748"],"abstract_inverted_index":{"The":[0],"recent":[1],"advances":[2],"in":[3,57,70,172,217],"5G":[4,174],"and":[5,74,118,163,200,220],"mobile":[6],"edge":[7,164,182],"computing":[8,165],"facilitate":[9],"the":[10,14,62,67,99,106,110,149,159,173,212],"rapid":[11],"development":[12,150],"of":[13,16,29,102,112,151,161,214],"Internet":[15],"Things":[17],"(IoT),":[18],"enabling":[19],"collective":[20],"intelligence":[21],"with":[22,109,122,225],"data":[23,75],"support":[24],"from":[25,88],"a":[26,39,89,137,191],"massive":[27],"number":[28],"IoT":[30,59,72,80,113,175],"devices.":[31],"Meanwhile,":[32],"federated":[33,185],"learning":[34,55,93,186],"(FL)":[35],"has":[36],"emerged":[37],"as":[38],"promising":[40],"solution":[41],"for":[42,140,148,169,204],"collaborative":[43,194],"training":[44,196],"while":[45],"preserving":[46],"user":[47],"privacy,":[48],"which,":[49],"however,":[50],"is":[51,143],"prone":[52],"to":[53,66,97,153],"poor":[54],"performance":[56],"large-scale":[58],"scenarios.":[60],"On":[61,105],"one":[63],"hand,":[64,108],"due":[65],"task":[68],"heterogeneity":[69,76],"various":[71],"scenarios":[73],"(non-IID)":[77],"across":[78],"different":[79,198],"clients,":[81],"more":[82,128],"than":[83],"traditional":[84,123],"FL":[85,91,124,155,195],"models":[86],"derived":[87],"Uniform":[90],"(UFL)":[92],"architecture":[94],"are":[95],"required":[96],"satisfy":[98],"diversified":[100],"demands":[101],"each":[103,141,205],"client.":[104,206],"other":[107,226],"proliferation":[111],"devices,":[114],"achieving":[115],"low":[116,119],"latency":[117],"communication":[120,222],"costs":[121],"architectures":[125],"becomes":[126],"even":[127],"challenging.":[129],"In":[130,157],"this":[131],"article,":[132],"we":[133,178],"argue":[134],"that":[135],"customizing":[136],"specific":[138],"model":[139,202],"client":[142],"an":[144,181],"urgent":[145],"requirement,":[146],"calling":[147],"UFL":[152],"Personalized":[154],"(PFL).":[156],"addition,":[158],"confluence":[160],"PFL":[162],"further":[166],"provides":[167],"opportunities":[168],"practical":[170],"implementation":[171],"environment.":[176],"Accordingly,":[177],"propose":[179],"EdgeFHN,":[180],"computing-based":[183],"personalized":[184],"framework,":[187],"which":[188],"can":[189],"strike":[190],"balance":[192],"between":[193],"among":[197],"clients":[199],"efficient":[201],"personalization":[203],"Experiments":[207],"on":[208],"image":[209],"classification":[210],"demonstrate":[211],"superiority":[213],"our":[215],"framework":[216],"improving":[218],"accuracy":[219],"reducing":[221],"overhead":[223],"compared":[224],"state-of-the-art":[227],"solutions.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}