{"id":"https://openalex.org/W4367046615","doi":"https://doi.org/10.1145/3543507.3583518","title":"pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning","display_name":"pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367046615","doi":"https://doi.org/10.1145/3543507.3583518"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583518","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-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/A5025430395","display_name":"Tao Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Tao Guo","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043464306","display_name":"Song Guo","orcid":"https://orcid.org/0000-0001-9831-2202"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Song Guo","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011648324","display_name":"Junxiao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Junxiao Wang","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025430395"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":10.024,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.98673007,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1364","last_page":"1374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9962999820709229,"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":0.9962999820709229,"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/T10028","display_name":"Topic Modeling","score":0.9846000075340271,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8037128448486328},{"id":"https://openalex.org/keywords/personalized-learning","display_name":"Personalized learning","score":0.5408514142036438},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.44628047943115234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.425173282623291},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.10339760780334473},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08790120482444763},{"id":"https://openalex.org/keywords/teaching-method","display_name":"Teaching method","score":0.06958281993865967},{"id":"https://openalex.org/keywords/open-learning","display_name":"Open learning","score":0.06490683555603027}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8037128448486328},{"id":"https://openalex.org/C142039133","wikidata":"https://www.wikidata.org/wiki/Q3620943","display_name":"Personalized learning","level":5,"score":0.5408514142036438},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.44628047943115234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.425173282623291},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.10339760780334473},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08790120482444763},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.06958281993865967},{"id":"https://openalex.org/C15122004","wikidata":"https://www.wikidata.org/wiki/Q385756","display_name":"Open learning","level":4,"score":0.06490683555603027},{"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:10.1145/3543507.3583518","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-129236","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-129236","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W114517082","https://openalex.org/W1977295328","https://openalex.org/W2047643928","https://openalex.org/W2155904486","https://openalex.org/W2194775991","https://openalex.org/W2533598788","https://openalex.org/W2560647685","https://openalex.org/W2752782242","https://openalex.org/W2930926105","https://openalex.org/W2963456518","https://openalex.org/W3034421924","https://openalex.org/W3035668299","https://openalex.org/W3038022836","https://openalex.org/W3092408317","https://openalex.org/W3103245149","https://openalex.org/W3112044954","https://openalex.org/W3133814152","https://openalex.org/W3135367836","https://openalex.org/W3156467244","https://openalex.org/W3169231731","https://openalex.org/W3198377975","https://openalex.org/W3212386989","https://openalex.org/W4285600172","https://openalex.org/W4285762978","https://openalex.org/W4287332481","https://openalex.org/W4302275239","https://openalex.org/W4312352414","https://openalex.org/W4312910992","https://openalex.org/W4385627126","https://openalex.org/W6684859321","https://openalex.org/W6759238902","https://openalex.org/W6771536673"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Pre-trained":[0],"vision-language":[1,34,148],"models":[2,103,149],"like":[3],"CLIP":[4],"show":[5],"great":[6],"potential":[7],"in":[8,67,147,162,165],"learning":[9,151],"representations":[10],"that":[11,110],"capture":[12],"latent":[13],"characteristics":[14,161],"of":[15,28,40,59,85,114,145,206],"users.":[16,106],"A":[17],"recently":[18],"proposed":[19],"method":[20],"called":[21],"Contextual":[22],"Optimization":[23],"(CoOp)":[24],"introduces":[25],"the":[26,37,46,55,77,83,91,112,121,135,142,173,183,195,204,210],"concept":[27],"training":[29,57,66,117,126],"prompt":[30,65,86,125,175],"for":[31,104],"adapting":[32,158],"pre-trained":[33],"models.":[35],"Given":[36],"lightweight":[38],"nature":[39],"this":[41,170],"method,":[42],"researchers":[43],"have":[44,95],"migrated":[45],"paradigm":[47],"from":[48,154],"centralized":[49],"to":[50,53,79,101,124,128,159,182],"decentralized":[51],"system":[52],"innovate":[54],"collaborative":[56],"framework":[58],"Federated":[60],"Learning":[61],"(FL).":[62],"However,":[63],"current":[64],"FL":[68,98,196],"mainly":[69],"focuses":[70],"on":[71],"modeling":[72],"user":[73,80,152,160],"consensus":[74,153],"and":[75,116,131,157,180],"lacks":[76],"adaptation":[78],"characteristics,":[81],"leaving":[82],"personalization":[84,130],"largely":[87],"under-explored.":[88],"Researches":[89],"over":[90],"past":[92],"few":[93],"years":[94],"applied":[96],"personalized":[97,179],"(pFL)":[99],"approaches":[100,212],"customizing":[102],"heterogeneous":[105],"Unfortunately,":[107],"we":[108,137],"find":[109],"with":[111,198,213],"variation":[113],"modality":[115],"behavior,":[118],"directly":[119],"applying":[120],"pFL":[122],"methods":[123],"leads":[127],"insufficient":[129],"performance.":[132,215],"To":[133],"bridge":[134],"gap,":[136],"present":[138],"pFedPrompt,":[139],"which":[140],"leverages":[141],"unique":[143],"advantage":[144],"multimodality":[146],"by":[150],"linguistic":[155],"space":[156,164],"visual":[163],"a":[166],"non-parametric":[167],"manner.":[168],"Through":[169],"dual":[171],"collaboration,":[172],"learned":[174],"will":[176],"be":[177],"fully":[178],"aligned":[181],"user\u2019s":[184],"local":[185],"characteristics.":[186],"We":[187],"conduct":[188],"extensive":[189],"experiments":[190],"across":[191],"various":[192],"datasets":[193],"under":[194],"setting":[197],"statistical":[199],"heterogeneity.":[200],"The":[201],"results":[202],"demonstrate":[203],"superiority":[205],"our":[207],"pFedPrompt":[208],"against":[209],"alternative":[211],"robust":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}