{"id":"https://openalex.org/W4402835283","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683500","title":"SHFL: Selective Hierarchical Federated Learning for Non-IID Data Distribution","display_name":"SHFL: Selective Hierarchical Federated Learning for Non-IID Data Distribution","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4402835283","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683500"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-spring62846.2024.10683500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","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/A5000917818","display_name":"Fan\u2010Hsun Tseng","orcid":"https://orcid.org/0000-0003-2461-8377"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fan-Hsun Tseng","raw_affiliation_strings":["National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108991003","display_name":"Yu-Teng Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Teng Lai","raw_affiliation_strings":["National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8328,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87703878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9961000084877014,"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":0.9961000084877014,"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/T10862","display_name":"AI in cancer detection","score":0.9345999956130981,"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":0.6758816242218018},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.48108264803886414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09515094757080078}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6758816242218018},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.48108264803886414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09515094757080078},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-spring62846.2024.10683500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2160642098","https://openalex.org/W2798720628","https://openalex.org/W3021654819","https://openalex.org/W3046101409","https://openalex.org/W3091635927","https://openalex.org/W4377079775","https://openalex.org/W6637131181","https://openalex.org/W6637373629","https://openalex.org/W6728757088","https://openalex.org/W6784048413"],"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":{"Hierarchical":[0],"federated":[1],"learning":[2],"(HFL)":[3],"allows":[4],"edge":[5,27],"devices":[6,28],"aggregate":[7],"trained":[8],"parameters":[9],"at":[10,32,50,56],"local":[11,90],"before":[12],"global":[13],"aggregation.":[14],"However,":[15],"data":[16,66,78],"distribution":[17,79],"as":[18,20,100],"well":[19],"the":[21,33,77,102],"service":[22],"or":[23],"application":[24],"types":[25],"of":[26,80],"should":[29],"be":[30],"considered":[31],"same":[34],"time.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39],"propose":[40],"a":[41],"selective":[42],"HFL":[43],"(SHFL)":[44],"algorithm":[45,111,122],"that":[46,109],"not":[47],"only":[48],"aims":[49],"accelerating":[51],"model":[52,58],"convergence":[53],"but":[54],"also":[55],"improving":[57],"robustness":[59],"for":[60,89,128],"independent":[61],"and":[62,67,118],"identically":[63],"distributed":[64],"(IID)":[65],"non-IID":[68,129],"data.":[69,130],"The":[70,105],"SHFL":[71,110],"firstly":[72],"performs":[73,86],"clustering":[74,125],"based":[75],"on":[76],"each":[81,84],"client,":[82],"then":[83],"cluster":[85],"their":[87],"training":[88,97],"FL.":[91],"After":[92],"that,":[93],"an":[94,119],"extra":[95],"FL":[96,116,121],"is":[98,112],"performed":[99],"finetuning":[101],"aggregated":[103],"model.":[104],"simulation":[106],"results":[107],"demonstrate":[108],"superior":[113],"to":[114],"classic":[115],"algorithms":[117],"existing":[120],"with":[123],"hierarchical":[124],"scheme,":[126],"especially":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}