{"id":"https://openalex.org/W4400032915","doi":"https://doi.org/10.1109/tmc.2024.3419096","title":"Federated Class-Incremental Learning With Dynamic Feature Extractor Fusion","display_name":"Federated Class-Incremental Learning With Dynamic Feature Extractor Fusion","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4400032915","doi":"https://doi.org/10.1109/tmc.2024.3419096"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2024.3419096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3419096","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/A5026636989","display_name":"Yanyan Lu","orcid":"https://orcid.org/0000-0003-2296-9309"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanyan Lu","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050067325","display_name":"Lei Yang","orcid":"https://orcid.org/0000-0002-8732-3675"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091770003","display_name":"Hao-Rui Chen","orcid":"https://orcid.org/0009-0008-9382-4864"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao-Rui Chen","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740023","display_name":"Jiannong Cao","orcid":"https://orcid.org/0000-0002-2725-2529"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiannong Cao","raw_affiliation_strings":["Department of Computing, Hung Hom, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hung Hom, Hong Kong","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046176565","display_name":"Wanyu Lin","orcid":"https://orcid.org/0000-0002-7328-8039"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wanyu Lin","raw_affiliation_strings":["Department of Computing, Hung Hom, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hung Hom, Hong Kong","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020630479","display_name":"Saiqin Long","orcid":"https://orcid.org/0000-0001-7119-8673"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Saiqin Long","raw_affiliation_strings":["College of Information Science and Technology, Jinan University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5026636989"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":3.5065,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93390042,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"23","issue":"12","first_page":"12969","last_page":"12982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.891700029373169,"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":0.891700029373169,"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/T10057","display_name":"Face and Expression Recognition","score":0.8827000260353088,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.8288999795913696,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8421193361282349},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5929467678070068},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5388171076774597},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.507806122303009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47771382331848145},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4622798264026642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8421193361282349},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5929467678070068},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5388171076774597},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.507806122303009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47771382331848145},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4622798264026642},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2024.3419096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3419096","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":[],"awards":[{"id":"https://openalex.org/G5733278378","display_name":null,"funder_award_id":"U23B2027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7125625577","display_name":null,"funder_award_id":"2022A1515010374","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2606698885","https://openalex.org/W2798720628","https://openalex.org/W2884282566","https://openalex.org/W2941385672","https://openalex.org/W2954124071","https://openalex.org/W2954929116","https://openalex.org/W2964189064","https://openalex.org/W3013609115","https://openalex.org/W3013989817","https://openalex.org/W3034911677","https://openalex.org/W3091635927","https://openalex.org/W3095266318","https://openalex.org/W3104631511","https://openalex.org/W3127190257","https://openalex.org/W3189545149","https://openalex.org/W4225130530","https://openalex.org/W4285600172","https://openalex.org/W4312769405","https://openalex.org/W4385767986","https://openalex.org/W4388820220","https://openalex.org/W4390874191","https://openalex.org/W6638523607","https://openalex.org/W6728757088","https://openalex.org/W6736057607","https://openalex.org/W6750254146","https://openalex.org/W6752029299","https://openalex.org/W6759238902","https://openalex.org/W6772307254","https://openalex.org/W6773817997","https://openalex.org/W6784864947","https://openalex.org/W6787972765","https://openalex.org/W6803116340","https://openalex.org/W6803156910","https://openalex.org/W6803975504","https://openalex.org/W6858617640"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W2372254676","https://openalex.org/W2080135837","https://openalex.org/W2793679056","https://openalex.org/W3145050838","https://openalex.org/W4283332091","https://openalex.org/W2393154870","https://openalex.org/W4237873526"],"abstract_inverted_index":{"Federated":[0,68],"class-incremental":[1,38],"learning":[2,35,70],"(FCIL)":[3],"allows":[4],"multiple":[5],"clients":[6],"in":[7,30,119,159],"a":[8,66,126],"distributed":[9],"environment":[10],"to":[11,94],"learn":[12],"models":[13,85],"collaboratively":[14],"from":[15],"evolving":[16],"data":[17,46],"streams,":[18],"where":[19],"new":[20,116,127],"classes":[21],"arrive":[22],"continually":[23],"at":[24],"each":[25,87,106],"client.":[26],"Some":[27],"existing":[28],"works":[29],"FCIL":[31],"combine":[32],"traditional":[33,57],"federated":[34],"methods":[36,158],"with":[37],"methods.":[39,58],"However,":[40],"the":[41,53,139,156,170],"global":[42,96],"model":[43,140],"affected":[44],"by":[45,89],"heterogeneity":[47],"can":[48],"aggravate":[49],"local":[50,99,148],"forgetting":[51,163],"through":[52],"direct":[54],"combination":[55],"of":[56,112,172],"To":[59],"tackle":[60],"this":[61],"issue,":[62],"we":[63,123],"propose":[64,125],"FCIDF,":[65],"novel":[67],"Class-Incremental":[69],"approach":[71],"based":[72,130],"on":[73,131,164,174],"<italic":[74,102],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[75,103],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Dynamic":[76],"feature":[77],"extractor":[78],"Fusion</i>.":[79],"FCIDF":[80,109,154,173],"learns":[81],"personalized":[82,91,120],"and":[83,115,145,162,167],"incremental":[84,107],"for":[86,147],"client":[88],"introducing":[90],"fusion":[92],"rates":[93],"integrate":[95],"knowledge":[97,118,144],"into":[98],"features.":[100],"Leveraging":[101],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">meta-learning</i>":[104],"during":[105],"round,":[108],"ensures":[110],"involvement":[111],"both":[113,160],"old":[114,143],"task":[117],"training.":[121],"Besides,":[122],"further":[124],"Storing":[128],"strategy":[129],"Accumulated":[132],"Global":[133],"Feature":[134],"Means":[135],"(AGFMS),":[136],"which":[137],"helps":[138],"review":[141],"unbiased":[142],"compensates":[146],"forgetting.":[149],"Experiment":[150],"results":[151],"show":[152],"that":[153],"outperforms":[155],"baseline":[157],"accuracy":[161],"most":[165,175],"settings,":[166],"AGFMS":[168],"improves":[169],"performance":[171],"evaluated":[176],"scales.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}
