{"id":"https://openalex.org/W4401070315","doi":"https://doi.org/10.1109/jiot.2024.3434600","title":"General Federated Class-Incremental Learning With Lightweight Generative Replay","display_name":"General Federated Class-Incremental Learning With Lightweight Generative Replay","publication_year":2024,"publication_date":"2024-07-29","ids":{"openalex":"https://openalex.org/W4401070315","doi":"https://doi.org/10.1109/jiot.2024.3434600"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3434600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3434600","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5036093979","display_name":"Yuanlu Chen","orcid":"https://orcid.org/0000-0002-5276-5975"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanlu Chen","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024031425","display_name":"Alysa Ziying Tan","orcid":"https://orcid.org/0000-0003-0084-3473"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Alysa Ziying Tan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071639289","display_name":"Siwei Feng","orcid":"https://orcid.org/0000-0002-4286-4793"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Feng","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064069283","display_name":"Han Yu","orcid":"https://orcid.org/0000-0001-6893-8650"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Han Yu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101612148","display_name":"Tao Deng","orcid":"https://orcid.org/0000-0003-0122-5247"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Deng","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114198860","display_name":"Libang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libang Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101795380","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0003-2814-2169"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5036093979"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":2.3905,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90110644,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":"20","first_page":"33927","last_page":"33939"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9933000206947327,"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":0.9933000206947327,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9926000237464905,"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/T12676","display_name":"Machine Learning and ELM","score":0.9535999894142151,"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":0.8574169874191284},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6404544711112976},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5381286144256592},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4382343292236328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4208669066429138},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3295862078666687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32286888360977173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8574169874191284},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6404544711112976},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5381286144256592},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4382343292236328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4208669066429138},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3295862078666687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32286888360977173}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2024.3434600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3434600","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2033256819","display_name":null,"funder_award_id":"62106167","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":59,"referenced_works":["https://openalex.org/W2001610032","https://openalex.org/W2027595342","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2963072899","https://openalex.org/W2963588172","https://openalex.org/W2964048876","https://openalex.org/W2964189064","https://openalex.org/W2997848713","https://openalex.org/W3036481309","https://openalex.org/W3111919937","https://openalex.org/W3118608800","https://openalex.org/W3168213397","https://openalex.org/W3182158470","https://openalex.org/W4220789466","https://openalex.org/W4224943538","https://openalex.org/W4281753687","https://openalex.org/W4288023537","https://openalex.org/W4290003882","https://openalex.org/W4311415873","https://openalex.org/W4312231739","https://openalex.org/W4312516051","https://openalex.org/W4312603992","https://openalex.org/W4312769405","https://openalex.org/W4315607772","https://openalex.org/W4361285887","https://openalex.org/W4366778909","https://openalex.org/W4378977253","https://openalex.org/W4379113041","https://openalex.org/W4381713812","https://openalex.org/W4385805259","https://openalex.org/W4386071578","https://openalex.org/W4387448561","https://openalex.org/W4387521180","https://openalex.org/W4387967999","https://openalex.org/W4388312099","https://openalex.org/W4390874191","https://openalex.org/W4390887438","https://openalex.org/W4392024457","https://openalex.org/W4392739310","https://openalex.org/W4394693706","https://openalex.org/W6728757088","https://openalex.org/W6741087337","https://openalex.org/W6759238902","https://openalex.org/W6770308229","https://openalex.org/W6779174293","https://openalex.org/W6787972765","https://openalex.org/W6789305514","https://openalex.org/W6796484261","https://openalex.org/W6842965877","https://openalex.org/W6843195772","https://openalex.org/W6850300237","https://openalex.org/W6853177463","https://openalex.org/W6853705744","https://openalex.org/W6857505406","https://openalex.org/W6858617640","https://openalex.org/W6878040887"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559","https://openalex.org/W4299831724","https://openalex.org/W4283803360"],"abstract_inverted_index":{"Federated":[0],"class-incremental":[1,111],"learning":[2,8,112],"(FCIL)":[3],"aims":[4],"to":[5,11,89,188,227],"allow":[6],"federated":[7,110],"(FL)":[9],"systems":[10],"consistently":[12],"learn":[13],"new":[14,48,224],"tasks":[15],"with":[16],"classes":[17,49,142,226],"that":[18,114,126,177,235],"change":[19],"dynamically,":[20],"without":[21],"forgetting":[22,42,164,243],"knowledge":[23,128,136],"from":[24,137,147,191,217],"previous":[25],"classes.":[26],"In":[27,100],"FCIL":[28,60,106,203],"scenarios,":[29,204],"both":[30,33,194],"heterogeneity":[31],"in":[32,65,165,193,201],"label":[34],"and":[35,40,97,132,143,161,184,197,212,223,244],"data":[36,146,154],"distribution":[37,67,196,200],"across":[38,159],"clients":[39,131,218],"catastrophic":[41,91,163,208,242],"caused":[43],"by":[44],"continual":[45],"emergence":[46],"of":[47,55,173,241],"can":[50],"significantly":[51],"affect":[52],"the":[53,117,134,150,170,174,239],"performance":[54],"a":[56,105,123,166],"FL":[57],"system.":[58],"Existing":[59],"methods":[61,81],"assume":[62],"only":[63],"changes":[64],"class":[66,87,195],"over":[68],"time":[69],"for":[70],"each":[71,148],"single":[72],"client":[73],"while":[74],"ignoring":[75],"class-specific":[76,198],"domain":[77,199],"distribution.":[78],"Furthermore,":[79],"these":[80],"often":[82],"rely":[83],"on":[84,220],"storing":[85],"old":[86,222],"exemplars":[88],"mitigate":[90],"forgetting,":[92,209],"potentially":[93],"raising":[94],"privacy":[95],"concerns":[96],"computational":[98],"burdens.":[99],"this":[101],"article,":[102],"we":[103,121,210],"propose":[104],"framework":[107],"called":[108],"generative":[109],"(GenFCIL)":[113],"effectively":[115,152,237],"addresses":[116],"aforementioned":[118],"challenges.":[119],"First,":[120],"introduce":[122],"lightweight":[124,171],"generator":[125,151,175],"promotes":[127],"sharing":[129],"among":[130],"preserves":[133],"accumulated":[135],"all":[138],"clients.":[139],"By":[140],"collecting":[141],"their":[144,221],"associated":[145],"client,":[149],"tackles":[153],"heterogeneity,":[155],"facilitating":[156],"information":[157],"transfer":[158],"clients,":[160],"mitigating":[162],"replay-free":[167],"manner.":[168],"Importantly,":[169],"nature":[172],"ensures":[176],"it":[178],"does":[179],"not":[180],"impose":[181],"excessive":[182],"memory":[183],"computation":[185],"requirements.":[186],"Second,":[187],"tackle":[189],"challenges":[190],"shifts":[192],"general":[202],"which":[205],"may":[206],"exacerbate":[207],"incorporate":[211,228],"update":[213],"multiple":[214],"logit":[215],"scores":[216],"focusing":[219],"overlapping":[225],"more":[229],"intraclass":[230],"information.":[231],"Experimental":[232],"results":[233],"show":[234],"GenFCIL":[236],"alleviates":[238],"impact":[240],"heterogeneity.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}