{"id":"https://openalex.org/W4415481024","doi":"https://doi.org/10.1145/3704413.3764435","title":"Beyond Right to be Forgotten: Managing Heterogeneity Side Effects Through Strategic Incentives","display_name":"Beyond Right to be Forgotten: Managing Heterogeneity Side Effects Through Strategic Incentives","publication_year":2025,"publication_date":"2025-10-23","ids":{"openalex":"https://openalex.org/W4415481024","doi":"https://doi.org/10.1145/3704413.3764435"},"language":null,"primary_location":{"id":"doi:10.1145/3704413.3764435","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704413.3764435","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704413.3764435","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","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/10.1145/3704413.3764435","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003622850","display_name":"Jiaqi Shao","orcid":"https://orcid.org/0009-0001-6309-0176"},"institutions":[{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Shao","raw_affiliation_strings":["Duke Kunshan University, Suzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-6309-0176","affiliations":[{"raw_affiliation_string":"Duke Kunshan University, Suzhou, China","institution_ids":["https://openalex.org/I4210159968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702155","display_name":"Tao Lin","orcid":"https://orcid.org/0000-0002-3246-6935"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Lin","raw_affiliation_strings":["Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3246-6935","affiliations":[{"raw_affiliation_string":"Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101527293","display_name":"Xiaojin Zhang","orcid":"https://orcid.org/0000-0001-9065-6852"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojin Zhang","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9065-6852","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636286","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0001-5059-8360"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiang Yang","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-5059-8360","affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010645658","display_name":"Bing Luo","orcid":"https://orcid.org/0000-0002-3664-5009"},"institutions":[{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Luo","raw_affiliation_strings":["Duke Kunshan University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3664-5009","affiliations":[{"raw_affiliation_string":"Duke Kunshan University, Suzhou, China","institution_ids":["https://openalex.org/I4210159968"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"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":0.14296391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9947999715805054,"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":0.9947999715805054,"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/stackelberg-competition","display_name":"Stackelberg competition","score":0.8091999888420105},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.8041999936103821},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.6341000199317932},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5022000074386597},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.40459999442100525},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.38199999928474426},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.3610000014305115}],"concepts":[{"id":"https://openalex.org/C199510392","wikidata":"https://www.wikidata.org/wiki/Q1184602","display_name":"Stackelberg competition","level":2,"score":0.8091999888420105},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.8041999936103821},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.6341000199317932},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.5268999934196472},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5022000074386597},{"id":"https://openalex.org/C40700","wikidata":"https://www.wikidata.org/wiki/Q1411783","display_name":"Industrial organization","level":1,"score":0.4108000099658966},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.4059999883174896},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3853999972343445},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.38519999384880066},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.38199999928474426},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.32280001044273376},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.31349998712539673},{"id":"https://openalex.org/C85510643","wikidata":"https://www.wikidata.org/wiki/Q5500284","display_name":"Free riding","level":3,"score":0.3046000003814697},{"id":"https://openalex.org/C2992107181","wikidata":"https://www.wikidata.org/wiki/Q531186","display_name":"Supply side","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C100001284","wikidata":"https://www.wikidata.org/wiki/Q2248246","display_name":"Public economics","level":1,"score":0.3019999861717224},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3704413.3764435","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704413.3764435","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704413.3764435","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3704413.3764435","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704413.3764435","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704413.3764435","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415481024.pdf","grobid_xml":"https://content.openalex.org/works/W4415481024.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2056266707","https://openalex.org/W2194775991","https://openalex.org/W2492629073","https://openalex.org/W2920095265","https://openalex.org/W2964162474","https://openalex.org/W3155189475","https://openalex.org/W3156818449","https://openalex.org/W3197363474","https://openalex.org/W4226183928","https://openalex.org/W4283208007","https://openalex.org/W4367046768","https://openalex.org/W4386260553","https://openalex.org/W4386260556","https://openalex.org/W4387150145","https://openalex.org/W4387544196","https://openalex.org/W4392910504","https://openalex.org/W4392979593","https://openalex.org/W4396757578","https://openalex.org/W4401508209"],"related_works":[],"abstract_inverted_index":{"Federated":[0],"Unlearning":[1],"(FU)":[2],"enables":[3],"the":[4,35,50,61,92,122],"removal":[5],"of":[6,56],"specific":[7],"clients'":[8],"data":[9,28,75,118],"influence":[10],"from":[11],"trained":[12],"models.":[13],"However,":[14],"in":[15,49],"non-IID":[16],"settings,":[17],"removing":[18],"clients":[19,25,42,100],"creates":[20],"critical":[21],"side":[22],"effects:":[23],"remaining":[24],"with":[26],"similar":[27],"distributions":[29],"suffer":[30],"disproportionate":[31],"performance":[32],"degradation,":[33],"while":[34],"global":[36,133],"model's":[37],"stability":[38,134],"deteriorates.":[39],"These":[40],"vulnerable":[41],"then":[43],"have":[44],"reduced":[45],"incentives":[46],"to":[47,97,105,137,148],"stay":[48],"federation,":[51],"potentially":[52],"triggering":[53],"a":[54,69,88],"cascade":[55],"withdrawals":[57],"that":[58,72],"further":[59],"destabilize":[60],"system.":[62],"To":[63],"address":[64],"this":[65],"challenge,":[66],"we":[67,84],"develop":[68],"theoretical":[70],"framework":[71],"quantifies":[73],"how":[74,117],"heterogeneity":[76,119],"impacts":[77],"unlearning":[78,107],"outcomes.":[79],"Based":[80],"on":[81,102],"these":[82],"insights,":[83],"model":[85],"FU":[86],"as":[87],"Stackelberg":[89],"game":[90],"where":[91],"server":[93],"strategically":[94],"offers":[95],"payments":[96],"retain":[98],"crucial":[99],"based":[101],"their":[103],"contribution":[104],"both":[106],"effectiveness":[108],"and":[109,127,145],"system":[110],"stability.":[111],"Our":[112,130],"rigorous":[113],"equilibrium":[114],"analysis":[115],"reveals":[116],"fundamentally":[120],"shapes":[121],"trade-offs":[123],"between":[124],"system-wide":[125],"objectives":[126],"client":[128,141],"interests.":[129],"approach":[131],"improves":[132],"by":[135,143],"up":[136,147],"6.23%,":[138],"reduces":[139],"worst-case":[140],"degradation":[142],"10.05%,":[144],"achieves":[146],"38.6%":[149],"runtime":[150],"efficiency":[151],"over":[152],"complete":[153],"retraining.":[154]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-23T00:00:00"}