{"id":"https://openalex.org/W7131376920","doi":"https://doi.org/10.1109/icdm65498.2025.00186","title":"Layer-Wise Unlearning for Model Adaption in Non-Stationary Environments","display_name":"Layer-Wise Unlearning for Model Adaption in Non-Stationary Environments","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7131376920","doi":"https://doi.org/10.1109/icdm65498.2025.00186"},"language":null,"primary_location":{"id":"doi:10.1109/icdm65498.2025.00186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm65498.2025.00186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining (ICDM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103037397","display_name":"Yanbing Zhou","orcid":"https://orcid.org/0009-0001-1803-3826"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbing Zhou","raw_affiliation_strings":["Guilin University of Electronic Technology,Guangxi Key Laboratory of Image and Graphic Intelligent Processing,Guilin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology,Guangxi Key Laboratory of Image and Graphic Intelligent Processing,Guilin,China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101664588","display_name":"Yimin Wen","orcid":"https://orcid.org/0009-0001-8383-6991"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Wen","raw_affiliation_strings":["Guilin University of Electronic Technology,Guangxi Key Laboratory of Image and Graphic Intelligent Processing,Guilin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology,Guangxi Key Laboratory of Image and Graphic Intelligent Processing,Guilin,China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008228476","display_name":"Z S Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanhua Liu","raw_affiliation_strings":["Guilin University of Electronic Technology,Guangxi Key Laboratory of Image and Graphic Intelligent Processing,Guilin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology,Guangxi Key Laboratory of Image and Graphic Intelligent Processing,Guilin,China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126850693","display_name":"Xiang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Liu","raw_affiliation_strings":["Guilin University of Electronic Technology,Guangxi Key Laboratory of Image and Graphic Intelligent Processing,Guilin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology,Guangxi Key Laboratory of Image and Graphic Intelligent Processing,Guilin,China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125922859","display_name":"Hang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Yu","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University,Shanghai,China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126795669","display_name":"Yikui Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikui Zhai","raw_affiliation_strings":["School of Electronics and Information Engineering, Wuyi University,Jiangmen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Wuyi University,Jiangmen,China","institution_ids":["https://openalex.org/I98834328"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1732","last_page":"1740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.3635999858379364,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.3635999858379364,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.24410000443458557,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.10589999705553055,"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/generalization","display_name":"Generalization","score":0.8001000285148621},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.7641000151634216},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.607200026512146},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5389999747276306},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5044999718666077},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4999000132083893},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4950999915599823},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4050000011920929}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.8001000285148621},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.7641000151634216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7092000246047974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6111999750137329},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.607200026512146},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5389999747276306},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5044999718666077},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4999000132083893},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4950999915599823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4830999970436096},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4050000011920929},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.37619999051094055},{"id":"https://openalex.org/C2779178101","wikidata":"https://www.wikidata.org/wiki/Q6987274","display_name":"Negative transfer","level":3,"score":0.36149999499320984},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31040000915527344},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdm65498.2025.00186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm65498.2025.00186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining (ICDM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6580924987792969,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1585854823","https://openalex.org/W1990079212","https://openalex.org/W2068714596","https://openalex.org/W2112796928","https://openalex.org/W2120204041","https://openalex.org/W2466741263","https://openalex.org/W2963863423","https://openalex.org/W3041133507","https://openalex.org/W3154155772","https://openalex.org/W3176828726","https://openalex.org/W3179420575","https://openalex.org/W3193974325","https://openalex.org/W3194427711","https://openalex.org/W4221158899","https://openalex.org/W4311404181","https://openalex.org/W4312651322","https://openalex.org/W4379652910","https://openalex.org/W4388681972","https://openalex.org/W4392883826","https://openalex.org/W4393147285","https://openalex.org/W4393154185","https://openalex.org/W4400111614","https://openalex.org/W4403487119","https://openalex.org/W4406947313","https://openalex.org/W4407787868","https://openalex.org/W4409364817","https://openalex.org/W4409367083","https://openalex.org/W4411799611"],"related_works":[],"abstract_inverted_index":{"Although":[0],"the":[1,23,33,52,107,113,119,124,162,172],"fine-tuning-based":[2],"deep":[3],"transfer":[4,158],"learning":[5],"method":[6,174],"performs":[7],"well":[8],"in":[9,19,85,118,166],"adapting":[10],"a":[11,64,98,137],"pre-trained":[12],"model":[13,35],"to":[14,48,69,141],"downstream":[15],"tasks,":[16],"it":[17,41,127],"struggles":[18],"non-stationary":[20],"environments":[21,44],"where":[22],"data":[24,176],"distribution":[25],"changes":[26],"dynamically":[27],"over":[28],"time.":[29],"In":[30],"such":[31],"scenarios,":[32],"trained":[34,120],"rapidly":[36],"becomes":[37],"obsolete.":[38],"Directly":[39],"fine-tuning":[40],"for":[42,78],"new":[43,167],"will":[45],"inevitably":[46],"lead":[47],"negative":[49,157],"transfer,":[50],"degrading":[51],"model's":[53,163],"generalization":[54,164],"performance.":[55],"Inspired":[56],"by":[57,111],"neuroscience,":[58],"some":[59],"existing":[60,74],"studies":[61],"have":[62],"proposed":[63,173],"so-called":[65],"\u201cunlearning-and-relearning\u201d":[66],"training":[67],"paradigm":[68],"alleviate":[70],"this":[71],"issue.":[72],"However,":[73],"methods":[75],"face":[76],"limitations;":[77],"example,":[79],"they":[80],"may":[81],"destroy":[82],"general":[83],"features":[84],"shallow":[86],"layers":[87,108],"and":[88,131,149,159,175],"lack":[89],"adaptability":[90],"when":[91],"performing":[92],"deep-layer":[93],"unlearning.":[94,143],"This":[95],"paper":[96],"proposes":[97],"Layer-wise":[99],"Unlearning":[100],"(LwU)":[101],"method.":[102],"Our":[103],"approach":[104],"first":[105],"identifies":[106],"requiring":[109],"unlearning":[110],"estimating":[112],"transferability":[114],"of":[115,171],"each":[116],"layer":[117],"model.":[121],"Then,":[122],"within":[123],"selected":[125],"layers,":[126],"preserves":[128],"high-sensitivity":[129],"parameters":[130],"re-initializes":[132],"low-sensitivity":[133],"ones":[134],"based":[135],"on":[136,146],"parameter":[138],"sensitivity":[139],"analysis":[140],"achieve":[142],"Extensive":[144],"experiments":[145],"synthetic,":[147],"real-world,":[148],"image":[150],"datasets":[151],"demonstrate":[152],"that":[153],"LwU":[154],"effectively":[155],"overcomes":[156],"substantially":[160],"improves":[161],"performance":[165],"environments.":[168],"The":[169],"code":[170],"are":[177],"available":[178],"at":[179],"https://github.com/mlmmwym/LwU.":[180]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-26T00:00:00"}
