{"id":"https://openalex.org/W4400810261","doi":"https://doi.org/10.1109/tnnls.2024.3417452","title":"Improving Global Generalization and Local Personalization for Federated Learning","display_name":"Improving Global Generalization and Local Personalization for Federated Learning","publication_year":2024,"publication_date":"2024-07-19","ids":{"openalex":"https://openalex.org/W4400810261","doi":"https://doi.org/10.1109/tnnls.2024.3417452","pmid":"https://pubmed.ncbi.nlm.nih.gov/39028598"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3417452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3417452","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100629169","display_name":"Lei Meng","orcid":"https://orcid.org/0000-0002-0273-5946"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Meng","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079754643","display_name":"Zhuang Qi","orcid":"https://orcid.org/0000-0003-3433-7413"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuang Qi","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102782723","display_name":"Lei Wu","orcid":"https://orcid.org/0000-0003-3347-8046"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003567218","display_name":"Xiaoyu Du","orcid":"https://orcid.org/0000-0002-4641-1994"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Du","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111065194","display_name":"Zhaochuan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaochuan Li","raw_affiliation_strings":["Inspur, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Inspur, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414718","display_name":"Lizhen Cui","orcid":"https://orcid.org/0000-0002-8262-8883"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Cui","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101536417","display_name":"Xiangxu Meng","orcid":"https://orcid.org/0000-0001-7290-5659"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxu Meng","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100629169"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":7.7967,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.97745669,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"36","issue":"1","first_page":"76","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8884999752044678,"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":0.8884999752044678,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.784500002861023,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/personalization","display_name":"Personalization","score":0.8306268453598022},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7584346532821655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6009911298751831},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4441399872303009},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.39253172278404236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2672045826911926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1243017315864563}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8306268453598022},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7584346532821655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6009911298751831},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4441399872303009},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.39253172278404236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2672045826911926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1243017315864563},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3417452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3417452","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:39028598","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39028598","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2319087628","display_name":null,"funder_award_id":"2021YFC3300203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G330906752","display_name":null,"funder_award_id":"62172226","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W2150143163","https://openalex.org/W2526198870","https://openalex.org/W2551176409","https://openalex.org/W2962858109","https://openalex.org/W2974440000","https://openalex.org/W2981794866","https://openalex.org/W2989289980","https://openalex.org/W2996974038","https://openalex.org/W2997168619","https://openalex.org/W3005429940","https://openalex.org/W3042621011","https://openalex.org/W3047304572","https://openalex.org/W3109695251","https://openalex.org/W3109723249","https://openalex.org/W3112044954","https://openalex.org/W3133814152","https://openalex.org/W3182158470","https://openalex.org/W3189545149","https://openalex.org/W3200318570","https://openalex.org/W3202544039","https://openalex.org/W3204874618","https://openalex.org/W3209306061","https://openalex.org/W3215194618","https://openalex.org/W4226101686","https://openalex.org/W4283388045","https://openalex.org/W4283796083","https://openalex.org/W4283800079","https://openalex.org/W4285601288","https://openalex.org/W4285603347","https://openalex.org/W4292829107","https://openalex.org/W4312297142","https://openalex.org/W4312416173","https://openalex.org/W4312517097","https://openalex.org/W4312541129","https://openalex.org/W4312551160","https://openalex.org/W4312592506","https://openalex.org/W4312797616","https://openalex.org/W4312869277","https://openalex.org/W4321354006","https://openalex.org/W4323644302","https://openalex.org/W4362714795","https://openalex.org/W4364302664","https://openalex.org/W4382463479","https://openalex.org/W4385488598","https://openalex.org/W4386066601","https://openalex.org/W4386071645","https://openalex.org/W4386075786","https://openalex.org/W4386160071","https://openalex.org/W4387211047","https://openalex.org/W4387211827","https://openalex.org/W4387717607","https://openalex.org/W4387967999","https://openalex.org/W4388193335","https://openalex.org/W4390873683","https://openalex.org/W4391145699","https://openalex.org/W4399506362","https://openalex.org/W4402981693","https://openalex.org/W6728757088","https://openalex.org/W6757139170","https://openalex.org/W6759238902","https://openalex.org/W6759853437","https://openalex.org/W6767676916","https://openalex.org/W6768632158","https://openalex.org/W6770590064","https://openalex.org/W6772307254","https://openalex.org/W6774195376","https://openalex.org/W6779174293","https://openalex.org/W6781318954","https://openalex.org/W6784336702","https://openalex.org/W6786597537","https://openalex.org/W6787972765","https://openalex.org/W6791102956","https://openalex.org/W6791444617","https://openalex.org/W6795843344","https://openalex.org/W6840391442","https://openalex.org/W6845589855","https://openalex.org/W6860456180","https://openalex.org/W6863465502","https://openalex.org/W6868540650"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4298221930","https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W4391210591","https://openalex.org/W1582019636","https://openalex.org/W2390279801","https://openalex.org/W1499005795","https://openalex.org/W4303448918"],"abstract_inverted_index":{"Federated":[0],"learning":[1,57,148,177],"aims":[2],"to":[3,32,41,64,80,94,99,105,124,134,145,179],"facilitate":[4],"collaborative":[5],"training":[6],"among":[7],"multiple":[8],"clients":[9,71,115],"with":[10],"data":[11,158],"heterogeneity":[12],"in":[13,43,206,226],"a":[14,52,168,187],"privacy-preserving":[15],"manner,":[16],"which":[17,78,152,174],"either":[18],"generates":[19],"the":[20,47,66,82,119,132,147,157,193,197,219],"generalized":[21],"model":[22],"or":[23],"develops":[24],"personalized":[25,55,96,106],"models.":[26],"However,":[27],"existing":[28],"methods":[29],"typically":[30],"struggle":[31],"balance":[33],"both":[34,227],"directions,":[35],"as":[36,143],"optimizing":[37],"one":[38],"often":[39],"leads":[40],"failure":[42],"another.":[44],"To":[45],"address":[46],"problem,":[48],"this":[49],"article":[50],"presents":[51],"method":[53,93],"named":[54],"federated":[56],"via":[58,234],"cross":[59],"silo":[60],"prototypical":[61,170],"calibration":[62,171],"(pFedCSPC)":[63],"enhance":[65,192],"consistency":[67],"of":[68,70,149,196,208],"knowledge":[69,144],"by":[72,116],"calibrating":[73,235],"features":[74,182,237],"from":[75,183],"heterogeneous":[76,181],"spaces,":[77],"contributes":[79],"enhancing":[81],"collaboration":[83,240],"effectiveness":[84],"between":[85],"clients.":[86],"Specifically,":[87],"pFedCSPC":[88,109,139,165,223],"employs":[89],"an":[90],"adaptive":[91],"aggregation":[92],"offer":[95],"initial":[97],"models":[98],"each":[100,122],"client,":[101],"enabling":[102],"rapid":[103],"adaptation":[104],"tasks.":[107],"Subsequently,":[108],"learns":[110],"class":[111],"representation":[112],"patterns":[113],"on":[114,131,203],"clustering,":[117],"averages":[118],"representations":[120],"within":[121],"cluster":[123],"form":[125],"local":[126,150,231],"prototypes,":[127],"and":[128,161,215,218,230,238],"aggregates":[129],"them":[130],"server":[133],"generate":[135],"global":[136,141,198,228],"prototypes.":[137],"Meanwhile,":[138],"leverages":[140],"prototypes":[142],"guide":[146],"representation,":[151],"is":[153],"beneficial":[154],"for":[155],"mitigating":[156],"imbalanced":[159],"problem":[160],"preventing":[162],"overfitting.":[163],"Moreover,":[164],"has":[166],"designed":[167],"cross-silo":[169],"(CSPC)":[172],"module,":[173],"utilizes":[175],"contrastive":[176],"techniques":[178],"map":[180],"different":[184],"sources":[185],"into":[186],"unified":[188],"space.":[189],"This":[190],"can":[191],"generalization":[194,229],"ability":[195],"model.":[199],"Experiments":[200],"were":[201],"conducted":[202],"four":[204],"datasets":[205],"terms":[207],"performance":[209,233],"comparison,":[210],"ablation":[211],"study,":[212,217],"in-depth":[213],"analysis,":[214],"case":[216],"results":[220],"verified":[221],"that":[222],"achieves":[224],"improvements":[225],"personalization":[232],"cross-source":[236],"strengthening":[239],"effectiveness,":[241],"respectively.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
