{"id":"https://openalex.org/W4411350623","doi":"https://doi.org/10.1145/3744560","title":"FairQuanti: Enhancing Fairness in Deep Neural Network Quantization via Neuron Role Contribution","display_name":"FairQuanti: Enhancing Fairness in Deep Neural Network Quantization via Neuron Role Contribution","publication_year":2025,"publication_date":"2025-06-16","ids":{"openalex":"https://openalex.org/W4411350623","doi":"https://doi.org/10.1145/3744560"},"language":"en","primary_location":{"id":"doi:10.1145/3744560","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3744560","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3744560","source":{"id":"https://openalex.org/S4210174050","display_name":"ACM Transactions on Privacy and Security","issn_l":"2471-2566","issn":["2471-2566","2471-2574"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Privacy and Security","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3744560","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101758654","display_name":"Jinyin Chen","orcid":"https://orcid.org/0000-0002-7153-2755"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyin Chen","raw_affiliation_strings":["Zhejiang University of Technology"],"raw_orcid":"https://orcid.org/0000-0002-7153-2755","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064329608","display_name":"Zhiqi Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqi Cao","raw_affiliation_strings":["Zhejiang University of Technology"],"raw_orcid":"https://orcid.org/0009-0004-4292-1817","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaojuan Wang","orcid":"https://orcid.org/0009-0006-5386-6395"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojuan Wang","raw_affiliation_strings":["Zhejiang University of Technology"],"raw_orcid":"https://orcid.org/0009-0006-5386-6395","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072212265","display_name":"Haibin Zheng","orcid":"https://orcid.org/0000-0002-8997-5343"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Zheng","raw_affiliation_strings":["Zhejiang University of Technology"],"raw_orcid":"https://orcid.org/0000-0002-8997-5343","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017748295","display_name":"Zhaoyan Ming","orcid":"https://orcid.org/0000-0002-6766-4579"},"institutions":[{"id":"https://openalex.org/I4210096345","display_name":"City University","ror":"https://ror.org/00r1j9q42","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210096345"]},{"id":"https://openalex.org/I4400573310","display_name":"Hangzhou City University","ror":"https://ror.org/01wck0s05","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573310"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Zhaoyan Ming","raw_affiliation_strings":["Hangzhou City University"],"raw_orcid":"https://orcid.org/0000-0002-6766-4579","affiliations":[{"raw_affiliation_string":"Hangzhou City University","institution_ids":["https://openalex.org/I4210096345","https://openalex.org/I4400573310"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042682251","display_name":"Yayu Zheng","orcid":"https://orcid.org/0009-0009-2010-4898"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yayu Zheng","raw_affiliation_strings":["Zhejiang University of Technology"],"raw_orcid":"https://orcid.org/0009-0009-2010-4898","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05183063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"3","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9943000078201294,"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/quantization","display_name":"Quantization (signal processing)","score":0.5814346671104431},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.561163604259491},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.4452367126941681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4383704960346222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3690643608570099},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.33362239599227905},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2698025405406952},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09293395280838013}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5814346671104431},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.561163604259491},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.4452367126941681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4383704960346222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3690643608570099},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33362239599227905},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2698025405406952},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09293395280838013}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3744560","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3744560","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3744560","source":{"id":"https://openalex.org/S4210174050","display_name":"ACM Transactions on Privacy and Security","issn_l":"2471-2566","issn":["2471-2566","2471-2574"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Privacy and Security","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3744560","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3744560","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3744560","source":{"id":"https://openalex.org/S4210174050","display_name":"ACM Transactions on Privacy and Security","issn_l":"2471-2566","issn":["2471-2566","2471-2574"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Privacy and Security","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2452714580","display_name":null,"funder_award_id":"62072406","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4134462825","display_name":"\u9762\u5411\u6df1\u5ea6\u6a21\u578b\u4f9b\u5e94\u94fe\u7684\u5b89\u5168\u53ef\u4fe1\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"LDQ23F020001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G4731930402","display_name":null,"funder_award_id":"SCUSAKFKT202402Z","funder_id":"https://openalex.org/F4320322990","funder_display_name":"Sichuan University"},{"id":"https://openalex.org/G486789412","display_name":null,"funder_award_id":"62406286","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6664801609","display_name":null,"funder_award_id":"62072406","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G7847541938","display_name":null,"funder_award_id":"62406286, 62072406","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"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411350623.pdf","grobid_xml":"https://content.openalex.org/works/W4411350623.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2100960835","https://openalex.org/W2194775991","https://openalex.org/W2214409633","https://openalex.org/W2963163009","https://openalex.org/W2963526187","https://openalex.org/W2970454332","https://openalex.org/W2974817986","https://openalex.org/W2981751377","https://openalex.org/W3034368386","https://openalex.org/W3034940165","https://openalex.org/W3108835732","https://openalex.org/W3129093240","https://openalex.org/W3138154797","https://openalex.org/W3165435112","https://openalex.org/W3168398407","https://openalex.org/W3181414820","https://openalex.org/W4284681038","https://openalex.org/W4284709622","https://openalex.org/W4287363917","https://openalex.org/W4388756711","https://openalex.org/W4393336297","https://openalex.org/W4394994587","https://openalex.org/W4395957348","https://openalex.org/W4396827130","https://openalex.org/W4399154429","https://openalex.org/W4401726555","https://openalex.org/W4401857430","https://openalex.org/W4401872853","https://openalex.org/W4401905990"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2931662336","https://openalex.org/W4220667126","https://openalex.org/W2077865380","https://openalex.org/W3006817050","https://openalex.org/W4401768695","https://openalex.org/W2765597752","https://openalex.org/W2134894512","https://openalex.org/W2083375246"],"abstract_inverted_index":{"The":[0],"increasing":[1],"complexity":[2],"of":[3,18,221],"deep":[4,238],"neural":[5],"networks":[6],"(DNNs)":[7],"poses":[8],"significant":[9],"resource":[10],"challenges":[11],"for":[12,41,111,233,246],"edge":[13],"devices,":[14],"prompting":[15],"the":[16,34,85,202,214],"development":[17],"compression":[19],"technologies":[20],"like":[21],"model":[22,27,82,113,133],"quantization.":[23,227],"However,":[24],"while":[25,258],"improving":[26],"efficiency,":[28],"quantization":[29,58,79,86,114,125,153],"can":[30],"introduce":[31],"or":[32],"perpetuate":[33],"original":[35],"model\u2019s":[36],"bias.":[37,260],"Existing":[38],"debiasing":[39],"methods":[40],"quantized":[42],"models":[43,178,239,251],"often":[44],"incur":[45],"additional":[46],"costs.":[47],"To":[48],"address":[49],"this":[50],"issue,":[51],"we":[52],"propose":[53],"FairQuanti":[54,75,88,180,228],",":[55],"a":[56,109,123,230],"novel":[57],"approach":[59],"that":[60,127],"leverages":[61],"neuron":[62,106,130],"role":[63],"contribution":[64],"to":[65,80,145,213,252],"achieve":[66],"fairness.":[67],"By":[68],"distinguishing":[69],"between":[70],"biased":[71,103],"and":[72,104,115,135,148,172,201,236,243,255],"normal":[73,105],"neurons,":[74],"employs":[76],"mixed":[77],"precision":[78],"mitigate":[81],"bias":[83,116],"during":[84],"process.":[87],"has":[89],"four":[90],"key":[91],"differences":[92],"from":[93],"previous":[94],"studies:":[95],"(1)":[96],"Neuron":[97],"Roles":[98],"-":[99,120,142,158],"It":[100,121,143,159],"formally":[101],"defines":[102],"roles,":[107,131],"establishing":[108],"framework":[110],"feasible":[112],"mitigation;":[117],"(2)":[118],"Effectiveness":[119],"introduces":[122],"fair":[124,235],"strategy":[126],"discriminatively":[128],"quantizes":[129],"balancing":[132],"accuracy":[134,219],"fairness":[136,189],"through":[137],"Bayesian":[138],"optimization;":[139],"(3)":[140],"Generality":[141],"applies":[144],"both":[146],"structured":[147,171],"unstructured":[149],"data":[150],"across":[151],"various":[152],"bit":[154],"levels;":[155],"(4)":[156],"Robustness":[157],"demonstrates":[160],"resilience":[161],"against":[162,184],"adaptive":[163],"attacks.":[164],"Extensive":[165],"experiments":[166],"on":[167,240],"five":[168,176],"datasets":[169],"(three":[170],"two":[173],"unstructured)":[174],"using":[175],"different":[177],"validate":[179],"\u2019s":[181],"superior":[182],"performance":[183],"eight":[185],"baseline":[186],"methods.":[187],"Specifically,":[188],"metrics":[190],"such":[191],"as":[192],"demographic":[193,203],"parity":[194,204],"(DP)":[195],"improve":[196],"by":[197,208],"approximately":[198,209],"1.03":[199],"times,":[200],"ratio":[205],"(DPR)":[206],"improves":[207],"1.51":[210],"times":[211],"compared":[212],"baselines,":[215],"with":[216],"an":[217],"average":[218],"loss":[220],"less":[222],"than":[223],"7.5%":[224],"at":[225,266],"8-bit":[226],"presents":[229],"promising":[231],"solution":[232],"deploying":[234],"efficient":[237],"resource-constrained":[241],"devices":[242],"holds":[244],"potential":[245],"application":[247],"in":[248],"large":[249],"language":[250],"reduce":[253],"size":[254],"computational":[256],"demands":[257],"minimizing":[259],"Our":[261],"source":[262],"code":[263],"is":[264],"available":[265],"https://github.com/Caozq2/FairQuanti":[267],".":[268]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
