{"id":"https://openalex.org/W4412377844","doi":"https://doi.org/10.1145/3726302.3730336","title":"Unlearning for Federated Online Learning to Rank: A Reproducibility Study","display_name":"Unlearning for Federated Online Learning to Rank: A Reproducibility Study","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412377844","doi":"https://doi.org/10.1145/3726302.3730336"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730336","doi":"https://doi.org/10.1145/3726302.3730336","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730336","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730336","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730336","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102577992","display_name":"Yiling Tao","orcid":"https://orcid.org/0009-0000-2796-123X","observed_orcids":["https://orcid.org/0009-0000-2796-123X"]},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiling Tao","raw_affiliation_strings":["Tsinghua University, Shenzhen, China and South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-2796-123X","affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China and South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734860","display_name":"Shuyi Wang","orcid":"https://orcid.org/0000-0002-4467-5574","observed_orcids":["https://orcid.org/0000-0002-4467-5574","https://orcid.org/0009-0006-5107-7149"]},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shuyi Wang","raw_affiliation_strings":["The University of Queensland, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4467-5574","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104148953","display_name":"Jiaxi Yang","orcid":"https://orcid.org/0000-0001-7113-6608","observed_orcids":["https://orcid.org/0000-0001-7113-6608"]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxi Yang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7113-6608","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076031002","display_name":"Guido Zuccon","orcid":"https://orcid.org/0000-0003-0271-5563","observed_orcids":["https://orcid.org/0000-0003-0271-5563"]},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guido Zuccon","raw_affiliation_strings":["The University of Queensland, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0271-5563","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9818,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85630445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3377","last_page":"3386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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":9.999999747378752e-05,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/federated-unlearning","display_name":"federated unlearning","score":0.8460000157356262},{"id":"https://openalex.org/keywords/right-to-be-forgotten","display_name":"right to be forgotten","score":0.8550000190734863},{"id":"https://openalex.org/keywords/search-result-ranking","display_name":"search result ranking","score":0.7549999952316284},{"id":"https://openalex.org/keywords/user-privacy","display_name":"user privacy","score":0.7070000171661377},{"id":"https://openalex.org/keywords/implicit-feedback","display_name":"implicit feedback","score":0.6710000038146973},{"id":"https://openalex.org/keywords/reproducibility","display_name":"reproducibility","score":0.6370000243186951}],"concepts":[{"id":"https://openalex.org/C9893847","wikidata":"https://www.wikidata.org/wiki/Q1425625","display_name":"Reproducibility","level":2,"score":0.7668646574020386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.674496591091156},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6726240515708923},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.510819673538208},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39183878898620605},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3581112325191498},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16139456629753113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09114733338356018},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.09015724062919617},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3726302.3730336","doi":"https://doi.org/10.1145/3726302.3730336","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730336","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730336","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2505.12791","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.12791","pdf_url":"https://arxiv.org/pdf/2505.12791","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2505.12791","doi":"https://doi.org/10.48550/arxiv.2505.12791","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.12791","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730336","doi":"https://doi.org/10.1145/3726302.3730336","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730336","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730336","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Gender equality","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/5"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412377844.pdf","grobid_xml":"https://content.openalex.org/works/W4412377844.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2009979684","https://openalex.org/W2147892741","https://openalex.org/W2154739689","https://openalex.org/W2470088391","https://openalex.org/W2505872937","https://openalex.org/W2744999500","https://openalex.org/W2890291106","https://openalex.org/W2907887012","https://openalex.org/W2913452160","https://openalex.org/W2970204870","https://openalex.org/W3015271280","https://openalex.org/W3133745687","https://openalex.org/W3138153888","https://openalex.org/W3145282602","https://openalex.org/W3148595793","https://openalex.org/W3197288708","https://openalex.org/W3197363474","https://openalex.org/W3205757487","https://openalex.org/W4221165231","https://openalex.org/W4224289668","https://openalex.org/W4252992828","https://openalex.org/W4367046768","https://openalex.org/W4385688474","https://openalex.org/W4393073554","https://openalex.org/W6600140940","https://openalex.org/W6600423979","https://openalex.org/W6601076540","https://openalex.org/W6607745433","https://openalex.org/W6635389640"],"related_works":["https://openalex.org/W2413717610","https://openalex.org/W1973270181","https://openalex.org/W2417696084","https://openalex.org/W2368782778","https://openalex.org/W2772359885","https://openalex.org/W2899331914","https://openalex.org/W3011471740","https://openalex.org/W2572315477","https://openalex.org/W3199233695","https://openalex.org/W1968289844"],"abstract_inverted_index":{"This":[0],"paper":[1,177],"reports":[2],"on":[3,9,77,103],"findings":[4],"from":[5,122],"a":[6,37,144,162],"comparative":[7],"study":[8,182],"the":[10,31,90,130,156,185],"effectiveness":[11,186],"and":[12,194,199],"efficiency":[13],"of":[14,34,43,132,143,158,169,187],"federated":[15],"unlearning":[16,32,133,142,170,188],"strategies":[17,189],"within":[18],"Federated":[19],"Online":[20],"Learning":[21],"to":[22,28,41,50,95,99,117,125,139,204],"Rank":[23],"(FOLTR),":[24],"with":[25,136],"specific":[26],"attention":[27,49],"systematically":[29],"analysing":[30],"capabilities":[33,113],"methods":[35,171],"in":[36,109,190],"verifiable":[38],"manner.Federated":[39],"approaches":[40],"ranking":[42,62],"search":[44,74],"results":[45,75],"have":[46],"recently":[47],"garnered":[48],"address":[51],"users":[52,116],"privacy":[53,56],"concerns.In":[54],"FOLTR,":[55],"is":[57,88],"safeguarded":[58],"by":[59],"collaboratively":[60],"training":[61],"models":[63,106],"across":[64,85],"decentralized":[65],"data":[66,71,121,146],"sources,":[67],"preserving":[68],"individual":[69],"user":[70,145],"while":[72],"optimizing":[73],"based":[76,102],"implicit":[78],"feedback,":[79],"such":[80],"as":[81],"clicks.Recent":[82],"legislation":[83],"introduced":[84],"numerous":[86],"countries":[87],"establishing":[89],"so":[91],"called":[92],"\"the":[93],"right":[94],"be":[96],"forgotten\",":[97],"according":[98],"which":[100],"services":[101],"machine":[104],"learning":[105],"like":[107],"those":[108,123],"FOLTR":[110],"should":[111],"provide":[112],"that":[114],"allow":[115],"remove":[118],"their":[119],"own":[120],"used":[124,173],"train":[126],"models.This":[127],"has":[128],"sparked":[129],"development":[131],"methods,":[134],"along":[135],"evaluation":[137,149,175,202],"practices":[138,150],"measure":[140],"whether":[141],"successfully":[147],"occurred.Current":[148],"are":[151],"however":[152],"often":[153],"controversial,":[154],"necessitating":[155],"use":[157],"multiple":[159],"metrics":[160],"for":[161],"more":[163],"comprehensive":[164],"assessment":[165],"-but":[166],"previous":[167],"proposals":[168],"only":[172],"single":[174],"metrics.This":[176],"addresses":[178],"this":[179],"limitation:":[180],"our":[181,205],"rigorously":[183],"assesses":[184],"managing":[191],"both":[192],"under-unlearning":[193],"over-unlearning":[195],"scenarios":[196],"using":[197],"adapted,":[198],"newly":[200],"proposed":[201],"metrics.Thanks":[203],"detailed":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
