{"id":"https://openalex.org/W4385565183","doi":"https://doi.org/10.1145/3580305.3599475","title":"Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation","display_name":"Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385565183","doi":"https://doi.org/10.1145/3580305.3599475"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599475","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5101754431","display_name":"Zeyu Cao","orcid":"https://orcid.org/0000-0001-8269-3602"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zeyu Cao","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-8269-3602","affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075311793","display_name":"Zhipeng Liang","orcid":"https://orcid.org/0000-0002-3101-5673"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhipeng Liang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-3101-5673","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040323946","display_name":"Bingzhe Wu","orcid":"https://orcid.org/0000-0001-9598-7642"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingzhe Wu","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9598-7642","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066610602","display_name":"Shu Zhang","orcid":"https://orcid.org/0009-0000-2223-5706"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Zhang","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0000-2223-5706","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724756","display_name":"Hangyu Li","orcid":"https://orcid.org/0000-0002-9659-3634"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangyu Li","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9659-3634","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057507160","display_name":"Wen Ouyang","orcid":"https://orcid.org/0009-0006-2415-652X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ouyang Wen","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0006-2415-652X","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767600","display_name":"Yu Rong","orcid":"https://orcid.org/0000-0001-7387-302X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Rong","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7387-302X","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015991234","display_name":"Peilin Zhao","orcid":"https://orcid.org/0000-0001-8543-3953"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peilin Zhao","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8543-3953","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"154","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9980999827384949,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.8663909435272217},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.6655400395393372},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6258437633514404},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5749672651290894},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5612291097640991},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.5435720086097717},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4709269404411316},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.45065543055534363},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.44996944069862366},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4193892478942871},{"id":"https://openalex.org/keywords/threat-model","display_name":"Threat model","score":0.4109247922897339},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3969241678714752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2854079604148865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27717387676239014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8663909435272217},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.6655400395393372},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6258437633514404},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5749672651290894},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5612291097640991},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.5435720086097717},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4709269404411316},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.45065543055534363},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.44996944069862366},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4193892478942871},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.4109247922897339},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3969241678714752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2854079604148865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27717387676239014},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3580305.3599475","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-131017","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-131017","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2009415795","https://openalex.org/W2017159180","https://openalex.org/W2112420033","https://openalex.org/W2734936460","https://openalex.org/W2912099989","https://openalex.org/W2951059495","https://openalex.org/W2989872778","https://openalex.org/W3080710500","https://openalex.org/W3102415183","https://openalex.org/W3130878888","https://openalex.org/W4226553098","https://openalex.org/W4280588203","https://openalex.org/W4284702440","https://openalex.org/W4287179788","https://openalex.org/W6611614545"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3197542405","https://openalex.org/W2418190244","https://openalex.org/W4238861846","https://openalex.org/W3125580266","https://openalex.org/W44246808"],"abstract_inverted_index":{"Recent":[0],"awareness":[1],"of":[2,13,136,169,175],"privacy":[3,98,176],"protection":[4,99,177],"and":[5,117,119,150,162,178],"compliance":[6],"requirement":[7],"resulted":[8],"in":[9,61,152,173],"a":[10,26,39,54,72,84,142],"controversial":[11],"view":[12],"recommendation":[14,23,60,179],"system":[15],"due":[16],"to":[17,111],"personal":[18],"data":[19],"usage.":[20],"Therefore,":[21],"privacy-protected":[22],"emerges":[24],"as":[25,38],"novel":[27],"research":[28],"direction.":[29],"In":[30],"this":[31,36,67,153],"paper,":[32],"we":[33,69,165],"first":[34],"formulate":[35],"problem":[37,58],"vertical":[40,63],"federated":[41,64],"learning":[42,57],"problem,":[43],"i.e.,":[44],"features":[45],"are":[46],"vertically":[47],"distributed":[48],"over":[49],"different":[50],"departments.":[51],"We":[52,106],"study":[53],"contextual":[55,88],"bandit":[56,114,138],"for":[59,87,124],"the":[62,109,133,167,170],"setting.":[65],"To":[66],"end,":[68],"carefully":[70,91],"design":[71],"customized":[73],"encryption":[74],"scheme":[75],"named":[76],"orthogonal":[77],"matrix-based":[78],"mask":[79],"mechanism":[80,110],"(O3M).":[81],"O3M":[82],"mechanism,":[83],"tailored":[85],"component":[86],"bandits":[89],"by":[90],"exploiting":[92],"their":[93],"shared":[94],"structure,":[95],"can":[96,130],"ensure":[97],"while":[100,140],"avoiding":[101],"expensive":[102],"conventional":[103],"cryptographic":[104],"techniques.":[105],"further":[107],"apply":[108],"two":[112,121],"commonly-used":[113],"algorithms,":[115],"LinUCB":[116],"LinTS,":[118],"instantiate":[120],"practical":[122],"protocols":[123,129],"online":[125],"recommendation.":[126],"The":[127],"proposed":[128,171],"perfectly":[131],"recover":[132],"service":[134],"quality":[135],"centralized":[137],"algorithms":[139],"achieving":[141],"satisfactory":[143],"runtime":[144],"efficiency,":[145],"which":[146],"is":[147],"theoretically":[148],"proved":[149],"analysed":[151],"paper.":[154],"By":[155],"conducting":[156],"extensive":[157],"experiments":[158],"on":[159],"both":[160],"synthetic":[161],"real-world":[163],"datasets,":[164],"show":[166],"superiority":[168],"method":[172],"terms":[174],"performance.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}