{"id":"https://openalex.org/W4410089278","doi":"https://doi.org/10.1145/3696410.3714740","title":"Unlearning Incentivizes Learning under Privacy Risk","display_name":"Unlearning Incentivizes Learning under Privacy Risk","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4410089278","doi":"https://doi.org/10.1145/3696410.3714740"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714740","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714740","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714740","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714740","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115430445","display_name":"Qiyuan Wang","orcid":"https://orcid.org/0000-0002-5919-0465"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiyuan Wang","raw_affiliation_strings":["Zhejiang University, Haining, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Haining, China","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ruiling Xu","orcid":"https://orcid.org/0009-0005-9710-2496"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiling Xu","raw_affiliation_strings":["Zhejiang University, Haining, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Haining, China","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068195118","display_name":"Shibo He","orcid":"https://orcid.org/0000-0002-1505-6766"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibo He","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000020871","display_name":"Randall Berry","orcid":"https://orcid.org/0000-0002-1861-6722"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Randall Berry","raw_affiliation_strings":["Northwestern University, Evanston, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100437745","display_name":"Meng Zhang","orcid":"https://orcid.org/0000-0002-4893-6946"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["Zhejiang University, Haining, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Haining, China","institution_ids":["https://openalex.org/I4210158570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115430445"],"corresponding_institution_ids":["https://openalex.org/I4210158570"],"apc_list":null,"apc_paid":null,"fwci":4.6338,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94142482,"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":"1456","last_page":"1467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9527999758720398,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9052000045776367,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.722106397151947},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.4974971115589142},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4663887023925781},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.45388466119766235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.722106397151947},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4974971115589142},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4663887023925781},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.45388466119766235}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696410.3714740","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714740","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714740","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714740","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714740","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714740","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1854825735","display_name":null,"funder_award_id":"62202427","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410089278.pdf","grobid_xml":"https://content.openalex.org/works/W4410089278.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W566443111","https://openalex.org/W2018200021","https://openalex.org/W2066004246","https://openalex.org/W2074555403","https://openalex.org/W2102894795","https://openalex.org/W2107481781","https://openalex.org/W2515654213","https://openalex.org/W2535690855","https://openalex.org/W2582257841","https://openalex.org/W2604442880","https://openalex.org/W2744999500","https://openalex.org/W2910589063","https://openalex.org/W2952957939","https://openalex.org/W3012125688","https://openalex.org/W3085940513","https://openalex.org/W3095251140","https://openalex.org/W3099542802","https://openalex.org/W3100231902","https://openalex.org/W3111919937","https://openalex.org/W3112877893","https://openalex.org/W3114244868","https://openalex.org/W3120176213","https://openalex.org/W3135472452","https://openalex.org/W3140978699","https://openalex.org/W3154155772","https://openalex.org/W3155898870","https://openalex.org/W3178386862","https://openalex.org/W3201919447","https://openalex.org/W3213321731","https://openalex.org/W3215200847","https://openalex.org/W4213446860","https://openalex.org/W4214607237","https://openalex.org/W4214758645","https://openalex.org/W4239041053","https://openalex.org/W4254483487","https://openalex.org/W4301724175","https://openalex.org/W4387010736","https://openalex.org/W4387150145","https://openalex.org/W4394595144","https://openalex.org/W4400830279","https://openalex.org/W4401508209","https://openalex.org/W6638911095"],"related_works":["https://openalex.org/W2584827882","https://openalex.org/W3195097297","https://openalex.org/W4225340788","https://openalex.org/W3038106605","https://openalex.org/W2513267613","https://openalex.org/W3049084372","https://openalex.org/W2528109871","https://openalex.org/W2940702331","https://openalex.org/W2905822832","https://openalex.org/W2240244939"],"abstract_inverted_index":{"While":[0],"federated":[1,49,116,124],"learning":[2,91],"enables":[3],"intelligent":[4],"services":[5],"and":[6,18,54,77,92,104,158,182],"personalized":[7],"user":[8,19,52],"experiences,":[9],"it":[10,192],"raises":[11],"privacy":[12,180,206,225,233],"concerns":[13],"due":[14],"to":[15,30,94,99,121],"regulatory":[16],"requirements":[17],"demands":[20],"for":[21,37,74,89,132,144,162],"data":[22],"protection.":[23],"Federated":[24],"unlearning":[25,50,93,105,117,175,185,236],"offers":[26],"a":[27,68,110,129,199,230],"potential":[28],"solution":[29],"these":[31],"issues.":[32],"However,":[33],"despite":[34],"increasing":[35],"demand":[36],"its":[38,61],"practical":[39],"implementation":[40],"driven":[41],"by":[42,223],"right-to-be-forgotten":[43],"regulations,":[44],"the":[45,83,101,134,141,145,155,160,163,171,194,203,217],"economic":[46],"implications":[47],"of":[48,70,136,174,205],"on":[51,151],"behavior":[53],"platform":[55,85],"profitability":[56,219],"remain":[57],"underexplored,":[58],"potentially":[59],"hindering":[60],"adoption.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66,153],"formulate":[67],"set":[69],"contract":[71,147],"design":[72,148],"problems":[73],"both":[75,90],"unlearning-disabled":[76],"unlearning-enabled":[78,84,138],"scenarios.":[79],"Challenges":[80],"arise":[81],"when":[82,193],"jointly":[86],"designs":[87],"compensation":[88],"incentivize":[95],"users'":[96,119,179,224],"sequential":[97],"decisions":[98],"balance":[100],"expected":[102],"revenue":[103],"cost.":[106],"We":[107,126],"first":[108],"conduct":[109],"questionnaire":[111],"survey":[112],"that":[113,115,169,216],"reveals":[114,168],"increases":[118,197],"willingness":[120],"participate":[122],"in":[123],"learning.":[125],"then":[127],"provide":[128],"necessary":[130],"condition":[131],"maximizing":[133],"surplus":[135,161],"an":[137],"platform,":[139],"enabling":[140,184,235],"point-wise":[142],"decomposition":[143],"optimal":[146],"problem,":[149],"based":[150],"which":[152],"minimize":[154],"incentive":[156,172],"cost":[157,196],"maximize":[159],"platform.":[164],"Our":[165,212],"further":[166],"analysis":[167],"i)":[170],"effects":[173],"grow":[176],"quadratically":[177],"with":[178],"sensitivity,":[181,234],"ii)":[183],"may":[186],"even":[187],"profit":[188],"more":[189],"than":[190,202],"disabling":[191],"training":[195],"at":[198],"faster":[200],"rate":[201],"probability":[204],"leakage":[207],"as":[208],"effort":[209],"levels":[210],"rise.":[211],"numerical":[213],"results":[214],"show":[215],"platform's":[218],"is":[220],"primarily":[221],"influenced":[222],"sensitivity.":[226],"When":[227],"users":[228],"have":[229],"relatively":[231],"high":[232],"can":[237],"significantly":[238],"improve":[239],"profitability.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
