{"id":"https://openalex.org/W4402369366","doi":"https://doi.org/10.3390/sym16091181","title":"Fed-RHLP: Enhancing Federated Learning with Random High-Local Performance Client Selection for Improved Convergence and Accuracy","display_name":"Fed-RHLP: Enhancing Federated Learning with Random High-Local Performance Client Selection for Improved Convergence and Accuracy","publication_year":2024,"publication_date":"2024-09-09","ids":{"openalex":"https://openalex.org/W4402369366","doi":"https://doi.org/10.3390/sym16091181"},"language":"en","primary_location":{"id":"doi:10.3390/sym16091181","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16091181","pdf_url":"https://www.mdpi.com/2073-8994/16/9/1181/pdf?version=1725874960","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/16/9/1181/pdf?version=1725874960","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086341601","display_name":"Pramote Sittijuk","orcid":null},"institutions":[{"id":"https://openalex.org/I66200439","display_name":"Naresuan University","ror":"https://ror.org/03e2qe334","country_code":"TH","type":"education","lineage":["https://openalex.org/I66200439"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pramote Sittijuk","raw_affiliation_strings":["Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand","institution_ids":["https://openalex.org/I66200439"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059675326","display_name":"Kreangsak Tamee","orcid":"https://orcid.org/0000-0002-4989-5621"},"institutions":[{"id":"https://openalex.org/I66200439","display_name":"Naresuan University","ror":"https://ror.org/03e2qe334","country_code":"TH","type":"education","lineage":["https://openalex.org/I66200439"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Kreangsak Tamee","raw_affiliation_strings":["Center of Excellence in Nonlinear Analysis and Optimization, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand","Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-4989-5621","affiliations":[{"raw_affiliation_string":"Center of Excellence in Nonlinear Analysis and Optimization, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand","institution_ids":["https://openalex.org/I66200439"]},{"raw_affiliation_string":"Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand","institution_ids":["https://openalex.org/I66200439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059675326"],"corresponding_institution_ids":["https://openalex.org/I66200439"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.9441,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79647985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":"9","first_page":"1181","last_page":"1181"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9900000095367432,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7902029156684875},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6072924733161926},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.521065890789032},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5093937516212463},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5004291534423828},{"id":"https://openalex.org/keywords/performance-improvement","display_name":"Performance improvement","score":0.4744342863559723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3434378504753113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3426128029823303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7902029156684875},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6072924733161926},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.521065890789032},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5093937516212463},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5004291534423828},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.4744342863559723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3434378504753113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3426128029823303},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/sym16091181","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16091181","pdf_url":"https://www.mdpi.com/2073-8994/16/9/1181/pdf?version=1725874960","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5ce06f0f2d8b408bb1fae4b5e44e4be1","is_oa":false,"landing_page_url":"https://doaj.org/article/5ce06f0f2d8b408bb1fae4b5e44e4be1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 16, Iss 9, p 1181 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/sym16091181","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16091181","pdf_url":"https://www.mdpi.com/2073-8994/16/9/1181/pdf?version=1725874960","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G5218751625","display_name":null,"funder_award_id":"180613","funder_id":"https://openalex.org/F4320323020","funder_display_name":"Naresuan University"}],"funders":[{"id":"https://openalex.org/F4320323020","display_name":"Naresuan University","ror":"https://ror.org/03e2qe334"},{"id":"https://openalex.org/F4320335099","display_name":"Faculty of Medical Science, Naresuan University","ror":"https://ror.org/03e2qe334"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402369366.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2541884796","https://openalex.org/W2794022343","https://openalex.org/W2900594532","https://openalex.org/W2954070046","https://openalex.org/W3007844454","https://openalex.org/W3038022836","https://openalex.org/W3097576778","https://openalex.org/W3109504587","https://openalex.org/W3118608800","https://openalex.org/W3123459983","https://openalex.org/W3158675315","https://openalex.org/W3196405711","https://openalex.org/W3199576415","https://openalex.org/W3204874618","https://openalex.org/W4206934917","https://openalex.org/W4210949151","https://openalex.org/W4214536145","https://openalex.org/W4220867361","https://openalex.org/W4226167551","https://openalex.org/W4281489756","https://openalex.org/W4287332481","https://openalex.org/W4311253042","https://openalex.org/W4366809026","https://openalex.org/W4377107432","https://openalex.org/W4383345489","https://openalex.org/W4385220534","https://openalex.org/W4385338532","https://openalex.org/W4385994261","https://openalex.org/W4386630259","https://openalex.org/W4387105517","https://openalex.org/W4387501624","https://openalex.org/W4388483144","https://openalex.org/W4394750287","https://openalex.org/W6759238902","https://openalex.org/W6762682940","https://openalex.org/W6786822380","https://openalex.org/W6794457098","https://openalex.org/W6851644375","https://openalex.org/W6854522483"],"related_works":["https://openalex.org/W2485872624","https://openalex.org/W2062195135","https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2023578311","https://openalex.org/W2134699697","https://openalex.org/W1800639126","https://openalex.org/W3017188156","https://openalex.org/W1833397253"],"abstract_inverted_index":{"We":[0],"introduce":[1],"the":[2,48,55,147],"random":[3],"high-local":[4],"performance":[5,53,83],"client":[6],"selection":[7],"strategy,":[8],"termed":[9],"Fed-RHLP.":[10],"This":[11,118],"approach":[12],"allows":[13],"opportunities":[14],"for":[15,29],"higher-performance":[16],"clients":[17,37,103],"to":[18,38,75,104],"contribute":[19,105],"more":[20],"significantly":[21],"by":[22,47,100,114,155],"updating":[23],"and":[24,77,84,92,121,126,142,158],"sharing":[25],"their":[26,43,51,108,115],"local":[27,52,116],"models":[28],"global":[30,149],"aggregation.":[31],"Nevertheless,":[32],"it":[33],"also":[34],"enables":[35],"lower-performance":[36,102],"participate":[39],"collaboratively":[40],"based":[41,106],"on":[42,54,107],"proportional":[44,109],"representation":[45],"determined":[46,113],"probability":[49],"of":[50],"roulette":[56],"wheel":[57],"(RW).":[58],"Improving":[59],"symmetry":[60,67],"in":[61,123,145],"federated":[62,98],"learning":[63,99],"involves":[64],"IID":[65,125,157],"Data:":[66,79],"is":[68,112],"naturally":[69],"present,":[70],"making":[71],"model":[72],"updates":[73],"easier":[74],"aggregate":[76],"Non-IID":[78,127,159],"asymmetries":[80],"can":[81],"impact":[82],"fairness.":[85],"Solutions":[86],"include":[87],"data":[88],"balancing,":[89],"adaptive":[90],"algorithms,":[91],"robust":[93],"aggregation":[94],"methods.":[95],"Fed-RHLP":[96,137],"enhances":[97],"allowing":[101],"representation,":[110],"which":[111],"performance.":[117],"fosters":[119],"inclusivity":[120],"collaboration":[122],"both":[124,156],"scenarios.":[128,162],"In":[129],"this":[130],"work,":[131],"through":[132],"experiments,":[133],"we":[134],"demonstrate":[135],"that":[136],"offers":[138],"accelerated":[139],"convergence":[140],"speed":[141],"improved":[143],"accuracy":[144],"aggregating":[146],"final":[148],"model,":[150],"effectively":[151],"mitigating":[152],"challenges":[153],"posed":[154],"Data":[160],"distribution":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}