{"id":"https://openalex.org/W7152652738","doi":"https://doi.org/10.1145/3774904.3792321","title":"Beyond Class Boundaries: Federated Visual Primitive Sharing with Text-Guided Adaptation","display_name":"Beyond Class Boundaries: Federated Visual Primitive Sharing with Text-Guided Adaptation","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7152652738","doi":"https://doi.org/10.1145/3774904.3792321"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792321","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792321","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792321","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yongqiang Huang","orcid":"https://orcid.org/0009-0008-2799-4726"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqiang Huang","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China, Tianfu Jiangxi Laboratory, Chengdu, Sichuan, China, and Key Laboratory of Data Protection and Intelligent Management (Sichuan University), Ministry of Education, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0008-2799-4726","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China, Tianfu Jiangxi Laboratory, Chengdu, Sichuan, China, and Key Laboratory of Data Protection and Intelligent Management (Sichuan University), Ministry of Education, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101669352","display_name":"Yingyu Chen","orcid":"https://orcid.org/0009-0001-7303-1030"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingyu Chen","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, Sichuan, China and Tianfu Jiangxi Laboratory, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0001-7303-1030","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, China and Tianfu Jiangxi Laboratory, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050971812","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-5311-3821"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-5311-3821","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zexin Lu","orcid":"https://orcid.org/0000-0001-5307-145X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexin Lu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0001-5307-145X","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022834590","display_name":"Zerui Shao","orcid":"https://orcid.org/0000-0002-4936-031X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zerui Shao","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China, Tianfu Jiangxi Laboratory, Chengdu, Sichuan, China, and Tianfu Jiangxi Laboratory, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-4936-031X","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China, Tianfu Jiangxi Laboratory, Chengdu, Sichuan, China, and Tianfu Jiangxi Laboratory, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Beibei Li","orcid":"https://orcid.org/0000-0002-0485-1975"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beibei Li","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-0485-1975","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388053","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0001-7201-2092"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China, Tianfu Jiangxi Laboratory, Chengdu, Sichuan, China, and Key Laboratory of Data Protection and Intelligent Management, Ministry of Education, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0001-7201-2092","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China, Tianfu Jiangxi Laboratory, Chengdu, Sichuan, China, and Key Laboratory of Data Protection and Intelligent Management, Ministry of Education, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5275","last_page":"5285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13310","display_name":"Subtitles and Audiovisual Media","score":0.0934000015258789,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13310","display_name":"Subtitles and Audiovisual Media","score":0.0934000015258789,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.07249999791383743,"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"}},{"id":"https://openalex.org/T12481","display_name":"Digital Accessibility for Disabilities","score":0.03669999912381172,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6384000182151794},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.43479999899864197},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3407999873161316},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.29980000853538513},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.27230000495910645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6707000136375427},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6384000182151794},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.43479999899864197},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28519999980926514},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27149999141693115},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2533999979496002},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792321","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792321","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792321","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792321","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.46357518434524536}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2981720610","https://openalex.org/W3155912831","https://openalex.org/W3180355996","https://openalex.org/W4283796083","https://openalex.org/W4285601288","https://openalex.org/W4311316079","https://openalex.org/W4367047310","https://openalex.org/W4382463479","https://openalex.org/W4383468656","https://openalex.org/W4386858694","https://openalex.org/W4387969057","https://openalex.org/W4390873050","https://openalex.org/W4392699793","https://openalex.org/W4402660089","https://openalex.org/W4402716118","https://openalex.org/W4410089557"],"related_works":[],"abstract_inverted_index":{"Personalized":[0],"Federated":[1,13,107],"Learning":[2,14,110],"(pFL)":[3],"effectively":[4,211],"addresses":[5],"the":[6,64,74,149],"challenge":[7],"of":[8,68,151],"statistical":[9],"heterogeneity":[10],"in":[11,36,201,217],"traditional":[12],"(FL),":[15],"with":[16,174],"feature":[17,142],"alignment":[18],"methods":[19,41],"(e.g.,":[20],"FedProto)":[21],"standing":[22],"out":[23],"due":[24],"to":[25,77,91,96,140,170,197],"their":[26,97],"communication":[27,146,180,204],"efficiency":[28],"and":[29,66,81,131,137,144,156,210,214],"model-agnostic":[30],"design,":[31],"making":[32],"them":[33],"practically":[34],"viable":[35],"real-world":[37],"non-IID":[38,186],"scenarios.":[39],"These":[40],"directly":[42],"align":[43,171],"class-level":[44,126],"features":[45,94,127],"across":[46,79,184],"clients":[47,80,86],"without":[48,177],"requiring":[49,178],"model":[50],"parameter":[51],"transmission.":[52],"However,":[53],"they":[54],"represent":[55],"each":[56],"class":[57],"as":[58,85],"a":[59,112,161,198],"holistic":[60],"prototype,":[61],"which":[62,124],"limits":[63],"diversity":[65,143],"expressiveness":[67],"shared":[69,172],"features.":[70],"This":[71],"restriction":[72],"hampers":[73],"model's":[75],"ability":[76],"generalize":[78],"impedes":[82],"personalized":[83],"adaptation,":[84],"lack":[87],"sufficient":[88],"semantic":[89],"components":[90],"reconstruct":[92],"discriminative":[93],"tailored":[95],"local":[98],"data":[99],"distributions.":[100],"To":[101],"overcome":[102],"these":[103],"limitations,":[104],"we":[105],"propose":[106],"Visual":[108,120],"Primitive":[109,121],"(FedVPL),":[111],"novel":[113],"framework":[114],"comprising":[115],"two":[116],"key":[117],"components:":[118],"(1)":[119],"Space":[122],"Sharing,":[123],"decomposes":[125],"into":[128],"semantically":[129],"meaningful":[130],"reusable":[132],"visual":[133],"primitives,":[134],"enabling":[135],"cross-client":[136],"cross-class":[138],"sharing":[139],"enrich":[141],"decouple":[145],"cost":[147],"from":[148],"number":[150],"classes,":[152],"significantly":[153],"improving":[154],"efficiency;":[155],"(2)":[157],"Text-Guided":[158],"Semantic":[159],"Alignment,":[160],"parameter-free":[162],"personalization":[163,215],"mechanism":[164],"that":[165,189],"leverages":[166],"external":[167],"language":[168],"priors":[169],"primitives":[173],"client-specific":[175],"semantics,":[176],"additional":[179],"overhead.":[181],"Extensive":[182],"experiments":[183],"diverse":[185],"benchmarks":[187],"demonstrate":[188],"FedVPL":[190],"substantially":[191],"outperforms":[192],"state-of-the-art":[193],"baselines,":[194],"achieving":[195],"up":[196],"5.62%":[199],"improvement":[200],"accuracy,":[202],"reducing":[203],"overhead":[205],"by":[206],"at":[207],"least":[208],"12.5x,":[209],"addressing":[212],"generalization":[213],"challenges":[216],"heterogeneous":[218],"federated":[219],"environments.":[220]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-04-10T00:00:00"}