{"id":"https://openalex.org/W4416251455","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228311","title":"AIMR: An Auction-based Incentive Mechanism for Federated LLM Fine-Tuning","display_name":"AIMR: An Auction-based Incentive Mechanism for Federated LLM Fine-Tuning","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251455","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228311"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5069992189","display_name":"Mengqi Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengqi Shan","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101713285","display_name":"Mingxin Wang","orcid":"https://orcid.org/0000-0001-9587-3434"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxin Wang","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056178220","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0002-7339-9126"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulan Yang","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100732392","display_name":"Hao Huang","orcid":"https://orcid.org/0000-0001-5174-0920"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Huang","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32425048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.7903000116348267,"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":0.7903000116348267,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.037700001150369644,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.014100000262260437,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.8021000027656555},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7010999917984009},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.6492000222206116},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5733000040054321},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.569100022315979},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5541999936103821},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5187000036239624}],"concepts":[{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.8021000027656555},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7010999917984009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009000182151794},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.6492000222206116},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5733000040054321},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.569100022315979},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5541999936103821},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5187000036239624},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.43700000643730164},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4104999899864197},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.37560001015663147},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34200000762939453},{"id":"https://openalex.org/C162222271","wikidata":"https://www.wikidata.org/wiki/Q92779871","display_name":"Public good","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.31380000710487366},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2946999967098236},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.28200000524520874},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.28040000796318054},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.26980000734329224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2540000081062317},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1546425147","https://openalex.org/W3007279825","https://openalex.org/W3016378036","https://openalex.org/W3080934299","https://openalex.org/W3155189475","https://openalex.org/W4205991051","https://openalex.org/W4319865990","https://openalex.org/W4385571157","https://openalex.org/W4401857637","https://openalex.org/W4401863415"],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs),":[3],"like":[4],"GPTs":[5],"and":[6,85,90,97,124,132,145,171,181],"LLaMAs,":[7],"have":[8],"drawn":[9],"much":[10],"attention":[11],"due":[12],"to":[13,63,93,118,161,168],"their":[14],"remarkable":[15],"performance":[16],"across":[17,51],"various":[18],"tasks.":[19],"With":[20],"the":[21,30,91,120,150],"rapid":[22],"development":[23],"of":[24,122,152],"LLMs,":[25],"an":[26,106,114],"inevitable":[27],"challenge":[28],"arises:":[29],"high-quality":[31,140],"public":[32],"datasets":[33,178],"that":[34],"LLMs":[35,72],"rely":[36],"on":[37,70,136,177],"will":[38],"be":[39,59],"exhausted":[40],"within":[41],"a":[42,55,60],"few":[43],"years.":[44],"Federated":[45],"Learning":[46],"(FL),":[47],"enabling":[48],"collaborative":[49],"training":[50],"multiple":[52],"parties":[53],"in":[54],"privacy-preserving":[56],"way,":[57],"can":[58],"promising":[61],"tool":[62],"address":[64],"this":[65],"challenge.":[66],"Although":[67],"existing":[68],"research":[69],"FL":[71],"has":[73],"demonstrated":[74],"its":[75],"effectiveness,":[76],"several":[77],"practical":[78],"problems":[79],"remain":[80],"unresolved.":[81],"These":[82],"include":[83],"data":[84,123],"task":[86,125],"heterogeneity,":[87],"insufficient":[88],"participation,":[89],"need":[92],"detect":[94],"potential":[95],"free-riders":[96,170],"attackers.":[98,172],"To":[99],"solve":[100],"these":[101],"problems,":[102],"we":[103],"propose":[104],"AIMR,":[105],"auction-based":[107],"incentive":[108,129],"mechanism":[109],"with":[110],"reliability.":[111],"AIMR":[112,164],"utilizes":[113],"agglomerative":[115],"clustering":[116],"approach":[117],"tackle":[119],"problem":[121],"heterogeneity.":[126],"It":[127],"employs":[128],"client":[130],"selection":[131],"payment":[133],"computation":[134],"based":[135],"reliability":[137],"estimation,":[138],"fostering":[139],"participation":[141],"while":[142],"ensuring":[143],"truthfulness":[144],"fairness.":[146],"Meanwhile,":[147],"it":[148],"mitigates":[149],"impact":[151],"low-quality":[153],"clients":[154],"through":[155],"quality-based":[156],"model":[157],"aggregation.":[158],"In":[159],"addition,":[160],"enhance":[162],"robustness,":[163],"performs":[165],"abnormal":[166],"detection":[167],"identify":[169],"Extensive":[173],"experiments":[174],"are":[175],"conducted":[176],"from":[179],"financial":[180],"general":[182],"domains,":[183],"showcasing":[184],"AIMR\u2019s":[185],"effectiveness.":[186]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-14T00:00:00"}