{"id":"https://openalex.org/W4408357840","doi":"https://doi.org/10.1109/tcsvt.2025.3550794","title":"PFedLAH: Personalized Federated Learning With Lookahead for Adaptive Cross-Modal Hashing","display_name":"PFedLAH: Personalized Federated Learning With Lookahead for Adaptive Cross-Modal Hashing","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408357840","doi":"https://doi.org/10.1109/tcsvt.2025.3550794"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3550794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3550794","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5011951226","display_name":"Yunfei Chen","orcid":"https://orcid.org/0009-0008-6199-7429"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Chen","raw_affiliation_strings":["Big Data Institute, School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","School of Computer Science and Engineering, Big Data Institute, Central South University, ChangSha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0008-6199-7429","affiliations":[{"raw_affiliation_string":"Big Data Institute, School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Big Data Institute, Central South University, ChangSha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100314185","display_name":"Hongyu Lin","orcid":"https://orcid.org/0009-0008-0312-3256"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Lin","raw_affiliation_strings":["Dundee International Institute of Central South University, Central South University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0008-0312-3256","affiliations":[{"raw_affiliation_string":"Dundee International Institute of Central South University, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057461144","display_name":"Zhan Yang","orcid":"https://orcid.org/0000-0002-6336-0228"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Yang","raw_affiliation_strings":["Big Data Institute, School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","School of Computer Science and Engineering, Big Data Institute, Central South University, ChangSha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-6336-0228","affiliations":[{"raw_affiliation_string":"Big Data Institute, School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Big Data Institute, Central South University, ChangSha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035841372","display_name":"Jun Long","orcid":"https://orcid.org/0000-0003-0163-0007"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Long","raw_affiliation_strings":["Big Data Institute, School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","School of Computer Science and Engineering, Big Data Institute, Central South University, ChangSha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0003-0163-0007","affiliations":[{"raw_affiliation_string":"Big Data Institute, School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Big Data Institute, Central South University, ChangSha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":3.0621,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.90930533,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"35","issue":"8","first_page":"8359","last_page":"8371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9850999712944031,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9850999712944031,"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/T11448","display_name":"Face recognition and analysis","score":0.9678000211715698,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9297000169754028,"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":0.8040384650230408},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.741576075553894},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5937976837158203},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.4126269817352295},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.4123746156692505},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4009532034397125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38811489939689636},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.2983320355415344},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.26615068316459656},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13245728611946106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040384650230408},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.741576075553894},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5937976837158203},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.4126269817352295},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.4123746156692505},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4009532034397125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38811489939689636},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.2983320355415344},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.26615068316459656},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13245728611946106},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3550794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3550794","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G135821275","display_name":null,"funder_award_id":"2022JJ40638","funder_id":"https://openalex.org/F4320330206","funder_display_name":"Science and Technology Program of Hunan Province"},{"id":"https://openalex.org/G2594744562","display_name":null,"funder_award_id":"U2003208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020270610","display_name":null,"funder_award_id":"62202501","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7712487735","display_name":null,"funder_award_id":"2023GK2013","funder_id":"https://openalex.org/F4320330206","funder_display_name":"Science and Technology Program of Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330206","display_name":"Science and Technology Program of Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2912213068","https://openalex.org/W2982905682","https://openalex.org/W3175740157","https://openalex.org/W3178827611","https://openalex.org/W3182158470","https://openalex.org/W3193254256","https://openalex.org/W3202544039","https://openalex.org/W4200632612","https://openalex.org/W4206430846","https://openalex.org/W4282926067","https://openalex.org/W4282937884","https://openalex.org/W4283796083","https://openalex.org/W4293152947","https://openalex.org/W4312592506","https://openalex.org/W4323022360","https://openalex.org/W4362701735","https://openalex.org/W4366851068","https://openalex.org/W4372348154","https://openalex.org/W4379382581","https://openalex.org/W4385767875","https://openalex.org/W4387129530","https://openalex.org/W4387448561","https://openalex.org/W4387682144","https://openalex.org/W4387967957","https://openalex.org/W4388191759","https://openalex.org/W4391917913","https://openalex.org/W4392901776","https://openalex.org/W4394011361","https://openalex.org/W4394725525","https://openalex.org/W4395029038","https://openalex.org/W4395064999","https://openalex.org/W4396782851","https://openalex.org/W4399154557","https://openalex.org/W4399310949","https://openalex.org/W4399531961","https://openalex.org/W4400002930","https://openalex.org/W4400351622","https://openalex.org/W4400909528","https://openalex.org/W4401024674","https://openalex.org/W4401906089","https://openalex.org/W4402727563","https://openalex.org/W4402754207","https://openalex.org/W4402811055","https://openalex.org/W4403791346","https://openalex.org/W4404095747","https://openalex.org/W4404735265","https://openalex.org/W4406268949","https://openalex.org/W4406387563","https://openalex.org/W4406458895","https://openalex.org/W6728757088","https://openalex.org/W6759238902","https://openalex.org/W6773817997","https://openalex.org/W6838423293"],"related_works":["https://openalex.org/W1551533237","https://openalex.org/W4251536634","https://openalex.org/W2088296667","https://openalex.org/W2185281229","https://openalex.org/W2059096784","https://openalex.org/W2126795708","https://openalex.org/W3192973254","https://openalex.org/W3158263601","https://openalex.org/W2171626009","https://openalex.org/W1750955152"],"abstract_inverted_index":{"Cross-modal":[0],"hashing":[1,42,187],"enables":[2],"efficient":[3],"cross-modal":[4,41,70],"retrieval":[5,192],"by":[6],"compressing":[7],"multi-modal":[8],"data":[9,46,53,114],"into":[10],"compact":[11],"binary":[12],"codes,":[13],"but":[14],"traditional":[15],"methods":[16],"primarily":[17],"rely":[18],"on":[19,174],"centralized":[20],"training,":[21],"which":[22,74],"is":[23,93,122],"limited":[24],"when":[25],"handling":[26],"large-scale":[27],"distributed":[28],"datasets.":[29],"Federated":[30,64],"learning":[31,65,100],"presents":[32],"a":[33,154],"scalable":[34],"alternative,":[35],"yet":[36],"existing":[37],"federated":[38,186],"frameworks":[39],"for":[40,68,95],"face":[43],"challenges":[44],"like":[45],"heterogeneity":[47],"and":[48,81,109,130,148,156,166,182,195],"imbalance,":[49],"such":[50],"as":[51],"non-IID":[52,113],"distribution":[54],"across":[55],"clients.":[56],"To":[57],"address":[58],"these":[59],"challenges,":[60],"we":[61],"propose":[62],"Personalized":[63,78],"with":[66,134],"Lookahead":[67,83],"Adaptive":[69,77,84],"Hashing":[71],"(PFedLAH)":[72],"method,":[73],"combines":[75,143],"Feature":[76],"Learning":[79],"(FAPL)":[80],"Weight-aware":[82],"Selection":[85],"(WLAS)":[86],"mechanism":[87,121],"together.":[88],"Initially,":[89],"the":[90,96,103,117,138,163,190,198],"FAPL":[91],"module":[92,142],"designed":[94],"client,":[97],"enabling":[98],"personalized":[99],"to":[101,125,152],"mitigate":[102],"effect":[104],"of":[105,197],"divergence":[106],"between":[107],"server":[108,139],"client":[110,146,158],"resulting":[111],"from":[112],"distribution,":[115],"while":[116,161],"local":[118,127],"optimization":[119,128],"constraint":[120],"also":[123],"integrated":[124],"avoid":[126],"shift":[129],"ensure":[131],"better":[132],"alignment":[133],"global":[135],"convergence.":[136],"On":[137],"side,":[140],"WLAS":[141],"weight-aware":[144],"adaptive":[145],"selection":[147,159],"gradient":[149,170],"momentum":[150],"lookahead":[151,169],"form":[153],"dynamic":[155],"intelligent":[157],"scheme,":[160],"enhancing":[162],"overall":[164],"convergence":[165],"consistency":[167],"through":[168],"prediction.":[171],"Comprehensive":[172],"experiments":[173],"widely":[175],"used":[176],"datasets,":[177],"including":[178],"MIRFlickr-25K,":[179],"MS":[180],"COCO,":[181],"NUS-WIDE,":[183],"comparing":[184],"state-of-the-art":[185],"methods,":[188],"demonstrate":[189],"superior":[191],"performance,":[193],"robustness,":[194],"scalability":[196],"PFedLAH":[199],"method.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}