{"id":"https://openalex.org/W4408345600","doi":"https://doi.org/10.1109/icassp49660.2025.10887961","title":"FedFLD: Heterogeneous Federated Learning via Forget-Less Distillation","display_name":"FedFLD: Heterogeneous Federated Learning via Forget-Less Distillation","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408345600","doi":"https://doi.org/10.1109/icassp49660.2025.10887961"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887961","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/A5078335625","display_name":"Xiaoyang Yi","orcid":"https://orcid.org/0000-0003-0579-6442"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Yi","raw_affiliation_strings":["Nankai University,College of Cyber Science,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University,College of Cyber Science,China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409855","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0001-5418-0455"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Nankai University,College of Cyber Science,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University,College of Cyber Science,China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394970","display_name":"Jing Chen","orcid":"https://orcid.org/0000-0003-2021-2169"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Chen","raw_affiliation_strings":["Nankai University,College of Computer Science,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University,College of Computer Science,China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuru Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuru Bao","raw_affiliation_strings":["Nankai University,College of Cyber Science,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University,College of Cyber Science,China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040040812","display_name":"Xing Li","orcid":"https://orcid.org/0000-0003-3462-7541"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingkai Xing","raw_affiliation_strings":["Nankai University,College of Cyber Science,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University,College of Cyber Science,China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":4.9524,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94385468,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9912999868392944,"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":0.9912999868392944,"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/T11719","display_name":"Data Quality and Management","score":0.9480000138282776,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.916100025177002,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7192432880401611},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.7039048075675964},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0971137285232544},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.06438905000686646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7192432880401611},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.7039048075675964},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0971137285232544},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.06438905000686646}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10887961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887961","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":[{"id":"https://metadata.un.org/sdg/2","score":0.4399999976158142,"display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2560647685","https://openalex.org/W3182158470","https://openalex.org/W4226101686","https://openalex.org/W4283796083","https://openalex.org/W4386065380","https://openalex.org/W4386767075","https://openalex.org/W4401023532","https://openalex.org/W4402897278","https://openalex.org/W6638523607","https://openalex.org/W6678815747","https://openalex.org/W6703116779","https://openalex.org/W6728757088","https://openalex.org/W6745689806","https://openalex.org/W6759238902","https://openalex.org/W6773817997","https://openalex.org/W6780224944","https://openalex.org/W6787972765","https://openalex.org/W6791102956","https://openalex.org/W6796484261","https://openalex.org/W6803877844","https://openalex.org/W6810565495","https://openalex.org/W6843328448","https://openalex.org/W6847350444","https://openalex.org/W6852848991","https://openalex.org/W6854708048","https://openalex.org/W6856798441","https://openalex.org/W6865335653"],"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":{"Federated":[0],"learning,":[1],"as":[2],"a":[3,29,36,61,143],"distributed":[4],"machine":[5],"learning":[6],"paradigm,":[7],"enhances":[8],"privacy":[9],"protection":[10],"but":[11],"faces":[12],"the":[13,75,81,90,120,124,131,136],"challenge":[14,26],"of":[15],"heterogeneity.":[16],"Data-free":[17],"knowledge":[18,114],"distillation":[19,65,115],"(DFKD)":[20],"methods":[21,41],"attempt":[22],"to":[23,31,51,119],"overcome":[24],"this":[25],"by":[27],"using":[28],"generator":[30,109],"synthesize":[32],"samples":[33,103],"for":[34],"fine-tuning":[35,133],"global":[37,121,125],"model.":[38,122,148],"However,":[39],"these":[40,56],"often":[42],"suffer":[43],"from":[44,84,104,116,138],"significant":[45],"shifts":[46],"in":[47,71,142],"output":[48,91],"distribution,":[49],"leading":[50],"catastrophic":[52,69],"forgetting.":[53],"To":[54],"tackle":[55],"issues,":[57],"we":[58],"propose":[59],"FedFLD,":[60],"novel":[62],"federated":[63],"forget-less":[64],"framework":[66],"that":[67],"mitigates":[68],"forgetting":[70],"DFKD":[72],"while":[73],"addressing":[74],"heterogeneity":[76,132,139],"challenge.":[77],"Specifically,":[78],"FedFLD":[79,111],"guides":[80],"generator\u2019s":[82],"training":[83],"three":[85],"key":[86],"aspects":[87],"and":[88,140,146],"constrains":[89],"distribution":[92],"with":[93],"an":[94],"elastic":[95],"weight":[96],"consolidation":[97],"penalty":[98],"term.":[99],"By":[100],"synthesizing":[101],"diverse":[102],"different":[105],"perspectives":[106],"through":[107],"additional":[108],"updates,":[110],"facilitates":[112],"effective":[113],"local":[117],"models":[118],"Additionally,":[123],"model":[126],"is":[127],"further":[128],"optimized":[129],"via":[130],"process,":[134],"mitigating":[135],"bias":[137],"resulting":[141],"more":[144],"expressive":[145],"robust":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
