{"id":"https://openalex.org/W4403487608","doi":"https://doi.org/10.3233/faia240722","title":"Federation-Paced Learning: Towards Efficient Federated Learning with Synchronized Pace","display_name":"Federation-Paced Learning: Towards Efficient Federated Learning with Synchronized Pace","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403487608","doi":"https://doi.org/10.3233/faia240722"},"language":"en","primary_location":{"id":"doi:10.3233/faia240722","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240722","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240722","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":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240722","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092109986","display_name":"Tingting Zhang","orcid":"https://orcid.org/0009-0001-9980-6340"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031511009","display_name":"Mei Cao","orcid":"https://orcid.org/0000-0002-4651-3843"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Cao","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027997476","display_name":"Zhenge Jia","orcid":"https://orcid.org/0000-0002-0554-3608"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenge Jia","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021950355","display_name":"Jianbo L\u01da","orcid":"https://orcid.org/0000-0001-9088-5663"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Lu","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019614582","display_name":"Zhaoyan Shen","orcid":"https://orcid.org/0000-0003-1336-8894"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyan Shen","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045982340","display_name":"Dongxiao Yu","orcid":"https://orcid.org/0000-0001-6835-5981"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiao Yu","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103092947","display_name":"Mengying Zhao","orcid":"https://orcid.org/0000-0001-7891-5436"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengying Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":null,"apc_paid":null,"fwci":0.6821,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72894401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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":0.9850999712944031,"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":0.9850999712944031,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9638000130653381,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9067000150680542,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.8739244937896729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5505974292755127},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.47487398982048035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2185784876346588},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10915446281433105}],"concepts":[{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.8739244937896729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5505974292755127},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.47487398982048035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2185784876346588},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10915446281433105},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia240722","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240722","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240722","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"}],"best_oa_location":{"id":"doi:10.3233/faia240722","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240722","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240722","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":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403487608.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2386723501","https://openalex.org/W2387879414","https://openalex.org/W2390304029","https://openalex.org/W2354923724","https://openalex.org/W2146830340","https://openalex.org/W2377101853","https://openalex.org/W3176937389"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7,66,77,102,113,161,173,202,223],"(FL)":[2],"is":[3,91,127,143,255],"a":[4,32,79,85,104,158,168,196,215],"distributed":[5,107],"machine":[6],"approach":[8],"that":[9,42,75,239],"allows":[10],"multiple":[11],"devices":[12],"or":[13],"computing":[14],"nodes":[15,108,206],"to":[16,57,100,130,184,199,207,219,248],"jointly":[17],"train":[18],"models":[19],"without":[20],"sharing":[21],"raw":[22],"data.":[23],"However,":[24,89],"in":[25,171,189,250],"real-world":[26],"application":[27],"scenarios,":[28],"FL":[29],"usually":[30],"encounters":[31],"critical":[33],"challenge":[34],"of":[35,64,106,191,229,252],"data":[36,117,122,135,141,149,187],"heterogeneity.":[37,150],"Recent":[38],"studies":[39],"have":[40],"revealed":[41],"the":[43,50,62,137,153,177,186,201,209,222,227,240],"client\u2019s":[44],"model":[45,52,124,178],"suffers":[46],"severe":[47,148],"bias":[48],"between":[49],"local":[51,65,138],"and":[53,118,133,174],"global":[54,58,140],"model,":[55],"leading":[56],"performance":[59,228],"degradation.":[60],"Improving":[61],"generalization":[63,87],"would":[67],"inherently":[68],"reduce":[69],"bias.":[70],"It":[71,126],"has":[72],"been":[73],"proved":[74],"self-paced":[76,112,169],"on":[78,231],"single":[80],"device":[81],"can":[82,97],"greatly":[83],"achieve":[84],"better":[86],"result.":[88],"it":[90,96],"not":[92,128,144],"well":[93],"explored":[94],"how":[95],"be":[98],"applied":[99],"federated":[101,160,172],"with":[103,147],"number":[105],"working":[109],"cooperatively.":[110],"Specifically,":[111],"suggests":[114],"using":[115],"easy":[116],"then":[119],"gradually":[120],"difficult":[121],"during":[123],"training.":[125],"straightforward":[129],"differentiate":[131],"\u201ceasy\u201d":[132],"\u201cdifficult\u201d":[134],"at":[136,257],"since":[139],"distribution":[142],"available,":[145],"especially":[146],"To":[151],"address":[152],"above":[154],"issues,":[155],"we":[156,181,194,213],"propose":[157,182,214],"novel":[159],"framework,":[162],"Federation-Paced":[163],"Learning":[164],"(FedPL),":[165],"which":[166],"enables":[167],"process":[170,203],"effectively":[175],"improves":[176],"performance.":[179],"First,":[180],"schemes":[183],"analyze":[185],"characteristics":[188],"terms":[190,251],"difficulty.":[192],"Then":[193],"define":[195],"stage":[197],"controller":[198],"synchronize":[200],"across":[204],"cooperative":[205],"follow":[208],"easy-to-hard":[210],"rule.":[211],"Finally,":[212],"client":[216],"selection":[217],"strategy":[218],"further":[220],"improve":[221],"efficacy.":[224],"We":[225],"evaluate":[226],"FedPL":[230,242],"several":[232],"generic":[233],"public":[234],"datasets.":[235],"Experiment":[236],"results":[237],"show":[238],"proposed":[241],"outperforms":[243],"existing":[244],"methods":[245],"by":[246],"up":[247],"13.50%":[249],"accuracy.":[253],"Code":[254],"available":[256],"https://github.com/tnghua/FedPL.":[258]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}