{"id":"https://openalex.org/W4409882628","doi":"https://doi.org/10.1109/tmc.2025.3564880","title":"Toward Universal Personalization in Federated Learning via Collaborative Foundation Generative Models","display_name":"Toward Universal Personalization in Federated Learning via Collaborative Foundation Generative Models","publication_year":2025,"publication_date":"2025-04-28","ids":{"openalex":"https://openalex.org/W4409882628","doi":"https://doi.org/10.1109/tmc.2025.3564880"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2025.3564880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3564880","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-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/A5008341072","display_name":"Chenrui Wu","orcid":"https://orcid.org/0000-0002-8349-2682"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenrui Wu","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031648019","display_name":"Zexi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexi Li","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0831-3549","affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101686970","display_name":"Fangxin Wang","orcid":"https://orcid.org/0000-0003-2559-045X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangxin Wang","raw_affiliation_strings":["School of Science and Engineering and the Future Network of Intelligence Institute, Chinese University of Hong Kong, Shenzhen, China","School of Science and Engineering (SSE) and the Future Network of Intelligence Institute (FNii), Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2559-045X","affiliations":[{"raw_affiliation_string":"School of Science and Engineering and the Future Network of Intelligence Institute, Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Science and Engineering (SSE) and the Future Network of Intelligence Institute (FNii), Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hongyang Chen","orcid":"https://orcid.org/0000-0002-7626-0162"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyang Chen","raw_affiliation_strings":["Zhejiang Lab, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7626-0162","affiliations":[{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052757755","display_name":"Jiajun Bu","orcid":"https://orcid.org/0000-0002-1097-2044"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Bu","raw_affiliation_strings":["Zhejiang Key Laboratory of Accessible Perception and Intelligent Systems, College of Computer Science, Zhejiang University, Hangzhou, China","College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1097-2044","affiliations":[{"raw_affiliation_string":"Zhejiang Key Laboratory of Accessible Perception and Intelligent Systems, College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047118636","display_name":"Haishuai Wang","orcid":"https://orcid.org/0000-0003-1617-0920"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haishuai Wang","raw_affiliation_strings":["Zhejiang Key Laboratory of Accessible Perception and Intelligent Systems, College of Computer Science, Zhejiang University, Hangzhou, China","College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1617-0920","affiliations":[{"raw_affiliation_string":"Zhejiang Key Laboratory of Accessible Perception and Intelligent Systems, College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.189,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95836729,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"24","issue":"10","first_page":"9695","last_page":"9708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.993399977684021,"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":0.993399977684021,"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/T12734","display_name":"Information Systems and Technology Applications","score":0.9126999974250793,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9108999967575073,"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/computer-science","display_name":"Computer science","score":0.8061113953590393},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.723467230796814},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.634148895740509},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.594309389591217},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4318240284919739},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.40062227845191956},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3796420395374298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30562812089920044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8061113953590393},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.723467230796814},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.634148895740509},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.594309389591217},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4318240284919739},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.40062227845191956},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3796420395374298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30562812089920044},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2025.3564880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3564880","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G1122440035","display_name":null,"funder_award_id":"62372408","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4869551441","display_name":null,"funder_award_id":"62202422","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2126579184","https://openalex.org/W2149466042","https://openalex.org/W2167868121","https://openalex.org/W2194775991","https://openalex.org/W2763549966","https://openalex.org/W2901389242","https://openalex.org/W2948069880","https://openalex.org/W2981720610","https://openalex.org/W3004531689","https://openalex.org/W3021026170","https://openalex.org/W3021654819","https://openalex.org/W3037492894","https://openalex.org/W3094793624","https://openalex.org/W3096325357","https://openalex.org/W3096831136","https://openalex.org/W3112044954","https://openalex.org/W3164573547","https://openalex.org/W3177096435","https://openalex.org/W3206985409","https://openalex.org/W3209386620","https://openalex.org/W4213055267","https://openalex.org/W4225399801","https://openalex.org/W4226101686","https://openalex.org/W4283032505","https://openalex.org/W4283796083","https://openalex.org/W4297697565","https://openalex.org/W4308796844","https://openalex.org/W4309794509","https://openalex.org/W4312366417","https://openalex.org/W4312933868","https://openalex.org/W4319997089","https://openalex.org/W4362654419","https://openalex.org/W4365456805","https://openalex.org/W4382239439","https://openalex.org/W4385801275","https://openalex.org/W4386065957","https://openalex.org/W4386076425","https://openalex.org/W4386159265","https://openalex.org/W4387914651","https://openalex.org/W4387968308","https://openalex.org/W4387968507","https://openalex.org/W4387969264","https://openalex.org/W4387969564","https://openalex.org/W4388187146","https://openalex.org/W4390872297","https://openalex.org/W4390873050","https://openalex.org/W4390873683","https://openalex.org/W4392251790","https://openalex.org/W4392903168","https://openalex.org/W4393160039","https://openalex.org/W4396583561","https://openalex.org/W4396982426","https://openalex.org/W4399336288","https://openalex.org/W4399618327","https://openalex.org/W4400032915","https://openalex.org/W4404952425","https://openalex.org/W4409364245","https://openalex.org/W4413147265","https://openalex.org/W4414051000"],"related_works":["https://openalex.org/W2381393187","https://openalex.org/W2332779545","https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W4391210591","https://openalex.org/W1582019636","https://openalex.org/W2380075625","https://openalex.org/W1499005795","https://openalex.org/W2358060160","https://openalex.org/W2141531133"],"abstract_inverted_index":{"Personalized":[0],"federated":[1],"learning":[2],"(PFL)":[3],"enhances":[4],"the":[5,30,59,67,80,91,126,137,163,168,190],"performance":[6],"of":[7,32,69,83],"customized":[8],"client":[9,138],"models":[10,179],"through":[11],"collaborative":[12],"training":[13,148],"without":[14],"compromising":[15],"data":[16,33,70,81,116,152],"privacy":[17],"and":[18,88,118,154,180,195,202,207,214],"ownership.":[19],"Some":[20],"previous":[21],"PFL":[22,74],"methods":[23],"rely":[24],"on":[25,125,172,192],"rich":[26],"prior":[27,64],"knowledge":[28,65],"about":[29,66],"types":[31,68],"heterogeneity":[34,102,210],"(such":[35],"as":[36],"class":[37,96,198,213],"imbalance":[38],"or":[39,100],"feature":[40,98,182,205,215],"skew),":[41],"which":[42,122],"greatly":[43],"limits":[44],"their":[45],"application":[46],"ranges.":[47],"In":[48,72],"this":[49],"paper,":[50],"we":[51,109,166],"study":[52],"theUniversal":[53],"Personalization":[54],"in":[55],"Federated":[56],"Learning":[57],"(UniPFL),":[58],"problem":[60],"that":[61,187],"has":[62],"no":[63],"heterogeneity.":[71],"real-world":[73],"scenarios,":[75],"UniPFL":[76],"is":[77,123,155],"potential":[78],"because":[79],"distributions":[82],"clients":[84],"are":[85,103],"usually":[86],"heterogeneous":[87],"unknown":[89],"to":[90,145,159,175],"server,":[92],"where":[93],"quantity":[94],"imbalance,":[95,97],"skew,":[99,206],"hybrid":[101,209],"possible":[104],"contingencies.":[105],"To":[106],"address":[107],"UniPFL,":[108],"proposeFedFD,":[110],"a":[111,142],"novel":[112],"framework":[113],"with":[114,211],"local":[115,147],"augmentation":[117],"global":[119],"concept":[120],"fusion,":[121],"based":[124,171],"recent":[127],"advances":[128],"inthe":[129],"foundation":[130],"generative":[131],"models(e.g.,":[132],"diffusion":[133,143],"models,":[134],"BLIP-2).":[135],"On":[136,162],"side,":[139,165],"FedFD":[140,188],"utilizes":[141],"model":[144,173],"assist":[146],"by":[149],"generating":[150],"augmented":[151],"samples,":[153],"then":[156],"efficiently":[157],"fine-tuned":[158],"be":[160],"personalized.":[161],"server":[164],"customize":[167],"aggregation":[169],"strategies":[170],"similarities":[174],"learn":[176],"both":[177,212],"personalized":[178],"diverse":[181],"concepts.":[183],"Extensive":[184],"experiments":[185],"show":[186],"reaches":[189],"state-of-the-art":[191],"(1)":[193],"CIFAR-10":[194],"CIFAR-100":[196],"for":[197,204],"imbalance;":[199],"(2)":[200],"DomainNet":[201],"Office-10":[203],"(3)":[208],"shifts.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-04-29T00:00:00"}