{"id":"https://openalex.org/W4408347217","doi":"https://doi.org/10.1109/icassp49660.2025.10887681","title":"Personalized Federated Class-Incremental Learning through Critical Parameter Transfer","display_name":"Personalized Federated Class-Incremental Learning through Critical Parameter Transfer","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408347217","doi":"https://doi.org/10.1109/icassp49660.2025.10887681"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/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":true,"raw_author_name":"Feng Wu","raw_affiliation_strings":["Soochow University,School of Computer Science and Technology,SuZhou,China"],"affiliations":[{"raw_affiliation_string":"Soochow University,School of Computer Science and Technology,SuZhou,China","institution_ids":["https://openalex.org/I3923682"]}]},{"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":["Soochow University,School of Computer Science and Technology,SuZhou,China"],"affiliations":[{"raw_affiliation_string":"Soochow University,School of Computer Science and Technology,SuZhou,China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","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":false,"raw_author_name":"Yuanlu Chen","raw_affiliation_strings":["Soochow University,School of Computer Science and Technology,SuZhou,China"],"affiliations":[{"raw_affiliation_string":"Soochow University,School of Computer Science and Technology,SuZhou,China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","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":["Soochow University,School of Computer Science and Technology,SuZhou,China"],"affiliations":[{"raw_affiliation_string":"Soochow University,School of Computer Science and Technology,SuZhou,China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101795380"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":8.3933,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96788709,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9369000196456909,"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/T12676","display_name":"Machine Learning and ELM","score":0.9369000196456909,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9117000102996826,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.90420001745224,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.740203320980072},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5975590348243713},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5136832594871521},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4513031244277954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33620187640190125},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.11594337224960327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740203320980072},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5975590348243713},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5136832594871521},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4513031244277954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33620187640190125},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.11594337224960327}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10887681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2551176409","https://openalex.org/W2954929116","https://openalex.org/W2964189064","https://openalex.org/W2965862774","https://openalex.org/W2995022099","https://openalex.org/W2998045710","https://openalex.org/W3007041883","https://openalex.org/W3133814152","https://openalex.org/W3176639943","https://openalex.org/W4312551160","https://openalex.org/W4312769405","https://openalex.org/W4379034050","https://openalex.org/W4385573001","https://openalex.org/W4390872538","https://openalex.org/W6728757088","https://openalex.org/W6752029299","https://openalex.org/W6755166560","https://openalex.org/W6770590064","https://openalex.org/W6772318479","https://openalex.org/W6773817997","https://openalex.org/W6774978782","https://openalex.org/W6787972765","https://openalex.org/W6796048911"],"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":{"Personalized":[0,61],"federated":[1,103,149],"learning":[2,123,150],"is":[3],"a":[4,13,60],"decentralized":[5],"approach":[6],"that":[7],"enables":[8],"clients":[9,35],"to":[10,19,90,146],"collaboratively":[11],"train":[12],"shared":[14],"model":[15,89,100,128,132],"while":[16,129],"customizing":[17],"it":[18],"their":[20],"unique":[21],"data":[22,49],"and":[23,84,105,124],"requirements.":[24],"However,":[25],"existing":[26,147],"methods":[27],"are":[28],"not":[29],"suited":[30],"for":[31],"dynamic":[32],"scenarios":[33],"where":[34],"continuously":[36,80],"learn":[37,81],"from":[38,118],"new":[39,82],"classes":[40],"of":[41,97,126],"data,":[42],"as":[43],"they":[44],"struggle":[45],"with":[46,110],"the":[47,87,91,93,98,111,127],"increased":[48],"heterogeneity":[50],"caused":[51],"by":[52],"this":[53],"influx.":[54],"To":[55],"address":[56],"this,":[57],"we":[58],"propose":[59],"Federated":[62],"Class":[63],"Incremental":[64],"Learning":[65],"(PFCIL)":[66],"framework":[67],"based":[68],"on":[69,139],"critical":[70],"parameter":[71],"transfer,":[72],"called":[73],"CPT-PFCIL,":[74],"which":[75],"each":[76,113],"local":[77,88,99],"client":[78,94,114],"can":[79],"classes,":[83],"before":[85],"uploading":[86],"server,":[92,112],"separates":[95],"parameters":[96,104],"into":[101],"global":[102],"task-specific":[106],"parameters.":[107],"Through":[108],"communication":[109],"selectively":[115],"receives":[116],"knowledge":[117],"other":[119],"clients,":[120],"achieving":[121],"continuous":[122],"updating":[125],"providing":[130],"personalized":[131,148],"optimization.":[133],"Our":[134],"method":[135],"has":[136],"been":[137],"validated":[138],"three":[140],"datasets,":[141],"demonstrating":[142],"better":[143],"performance":[144],"compared":[145],"methods.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}