{"id":"https://openalex.org/W4403487600","doi":"https://doi.org/10.3233/faia240727","title":"FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients","display_name":"FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403487600","doi":"https://doi.org/10.3233/faia240727"},"language":"en","primary_location":{"id":"doi:10.3233/faia240727","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240727","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240727","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240727","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100613348","display_name":"Han Liang","orcid":"https://orcid.org/0000-0003-0457-2877"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Liang","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107890053","display_name":"Ziwei Zhan","orcid":"https://orcid.org/0009-0004-7517-4096"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Zhan","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668786","display_name":"Weijie Liu","orcid":"https://orcid.org/0000-0002-8023-9913"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Liu","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763625","display_name":"Xiaoxi Zhang","orcid":"https://orcid.org/0000-0003-0751-2773"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxi Zhang","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079559561","display_name":"Chee Wei Tan","orcid":"https://orcid.org/0000-0002-6624-9752"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chee Wei Tan","raw_affiliation_strings":["Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385692","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0001-9943-6020"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0575,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8856699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9907000064849854,"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":0.9907000064849854,"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":0.6397644281387329},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4968145191669464},{"id":"https://openalex.org/keywords/personalized-learning","display_name":"Personalized learning","score":0.4179030656814575},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3845338225364685},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32513228058815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24336716532707214},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2354232370853424},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.09042057394981384},{"id":"https://openalex.org/keywords/open-learning","display_name":"Open learning","score":0.04080429673194885},{"id":"https://openalex.org/keywords/teaching-method","display_name":"Teaching method","score":0.031400859355926514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6397644281387329},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4968145191669464},{"id":"https://openalex.org/C142039133","wikidata":"https://www.wikidata.org/wiki/Q3620943","display_name":"Personalized learning","level":5,"score":0.4179030656814575},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3845338225364685},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32513228058815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24336716532707214},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2354232370853424},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.09042057394981384},{"id":"https://openalex.org/C15122004","wikidata":"https://www.wikidata.org/wiki/Q385756","display_name":"Open learning","level":4,"score":0.04080429673194885},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.031400859355926514},{"id":"https://openalex.org/C51672120","wikidata":"https://www.wikidata.org/wiki/Q303446","display_name":"Cooperative learning","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia240727","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240727","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240727","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2411.01825","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.01825","pdf_url":"https://arxiv.org/pdf/2411.01825","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"doi:10.3233/faia240727","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240727","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240727","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1679631402","display_name":null,"funder_award_id":"62102460","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G479948761","display_name":null,"funder_award_id":"2024A04J6367","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G4907217379","display_name":null,"funder_award_id":"2024A1515010161","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G4964873682","display_name":null,"funder_award_id":"AcRF RG91/22","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"},{"id":"https://openalex.org/G5272922510","display_name":null,"funder_award_id":"2023A1515012982","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6482157743","display_name":null,"funder_award_id":"2021B151520008","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6719889613","display_name":null,"funder_award_id":"2023B1515120058","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8201033809","display_name":null,"funder_award_id":"2023A1515012982","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G823577436","display_name":null,"funder_award_id":"2024A1515010161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321160","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403487600.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4298221930","https://openalex.org/W2390279801","https://openalex.org/W2777914285","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W3176937389","https://openalex.org/W4385567577"],"abstract_inverted_index":{"Federated":[0,37],"Learning":[1,38],"(FL)":[2],"is":[3,243],"a":[4,11,181],"distributed":[5],"machine":[6],"learning":[7],"paradigm":[8],"that":[9,106,215],"achieves":[10],"globally":[12],"robust":[13],"model":[14,20,160,213],"through":[15],"decentralized":[16],"computation":[17],"and":[18,68,93,120,136,146,156,190],"periodic":[19],"synthesis,":[21],"primarily":[22],"focusing":[23],"on":[24,56,125,168],"the":[25,50,76,81,86,133,149,153,196,205,228,233],"global":[26],"model\u2019s":[27],"accuracy":[28,51],"over":[29],"aggregated":[30],"datasets":[31],"of":[32,52,62,80,88,132,158,201,219,235],"all":[33],"participating":[34],"clients.":[35],"Personalized":[36],"(PFL)":[39],"instead":[40],"tailors":[41],"exclusive":[42],"models":[43,55],"for":[44,142,212],"each":[45,220],"client,":[46],"aiming":[47],"to":[48,73,118,188,225],"enhance":[49,227],"clients\u2019":[53,123,143,199],"individual":[54],"specific":[57],"local":[58],"data":[59,89,127],"distributions.":[60],"Despite":[61],"their":[63,202],"wide":[64],"adoption,":[65],"existing":[66],"FL":[67,94],"PFL":[69,92,104],"works":[70],"have":[71],"yet":[72],"comprehensively":[74],"address":[75],"class-imbalance":[77,109],"issue,":[78],"one":[79],"most":[82,222],"critical":[83,174],"challenges":[84],"within":[85],"realm":[87],"heterogeneity":[90],"in":[91,238],"research.":[95],"In":[96],"this":[97],"paper,":[98],"we":[99,172,179,207],"propose":[100],"FedReMa,":[101],"an":[102,113,209],"efficient":[103],"algorithm":[105],"can":[107],"tackle":[108],"by":[110,152,164,194],"1)":[111],"utilizing":[112],"adaptive":[114],"inter-client":[115,169],"co-learning":[116,175],"approach":[117],"identify":[119],"harness":[121],"different":[122,126,154],"expertise":[124],"classes":[128],"throughout":[129],"various":[130],"phases":[131],"training":[134],"process,":[135],"2)":[137],"employing":[138],"distinct":[139],"aggregation":[140,214],"methods":[141],"feature":[144],"extractors":[145],"classifiers,":[147],"with":[148],"choices":[150],"informed":[151],"roles":[155],"implications":[157],"these":[159],"components.":[161],"Specifically,":[162],"driven":[163],"our":[165,236],"experimental":[166],"findings":[167],"similarity":[170],"dynamics,":[171],"develop":[173],"period":[176],"(CCP),":[177],"wherein":[178],"introduce":[180],"module":[182],"named":[183],"maximum":[184],"difference":[185],"segmentation":[186],"(MDS)":[187],"assess":[189],"manage":[191],"task":[192],"relevance":[193],"analyzing":[195],"similarities":[197],"between":[198],"logits":[200],"classifiers.":[203],"Outside":[204],"CCP,":[206],"employ":[208],"additional":[210],"scheme":[211],"utilizes":[216],"historical":[217],"records":[218],"client\u2019s":[221],"relevant":[223],"peers":[224],"further":[226],"personalization":[229],"stability.":[230],"We":[231],"demonstrate":[232],"superiority":[234],"FedReMa":[237],"extensive":[239],"experiments.":[240],"The":[241],"code":[242],"available":[244],"at":[245],"https://github.com/liangh68/FedReMa.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
