{"id":"https://openalex.org/W4308643126","doi":"https://doi.org/10.1145/3548606.3560687","title":"Federated Boosted Decision Trees with Differential Privacy","display_name":"Federated Boosted Decision Trees with Differential Privacy","publication_year":2022,"publication_date":"2022-11-07","ids":{"openalex":"https://openalex.org/W4308643126","doi":"https://doi.org/10.1145/3548606.3560687"},"language":"en","primary_location":{"id":"doi:10.1145/3548606.3560687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3548606.3560687","pdf_url":null,"source":{"id":"https://openalex.org/S4363608815","display_name":"Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"article","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/A5033183624","display_name":"Samuel Maddock","orcid":"https://orcid.org/0000-0002-4032-5251"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Samuel Maddock","raw_affiliation_strings":["University of Warwick, Coventry, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031896681","display_name":"Graham Cormode","orcid":"https://orcid.org/0000-0002-0698-0922"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Graham Cormode","raw_affiliation_strings":["Meta AI, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Meta AI, London, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610986","display_name":"Tianhao Wang","orcid":"https://orcid.org/0000-0002-9017-7947"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianhao Wang","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080175512","display_name":"Carsten Maple","orcid":"https://orcid.org/0000-0002-4715-212X"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Carsten Maple","raw_affiliation_strings":["University of Warwick, Coventry, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088826068","display_name":"Somesh Jha","orcid":"https://orcid.org/0000-0001-5877-0436"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Somesh Jha","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033183624"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":2.818,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.92425929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2249","last_page":"2263"},"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/T10237","display_name":"Cryptography and Data Security","score":0.9983000159263611,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9829000234603882,"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/computer-science","display_name":"Computer science","score":0.884419322013855},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.8776028752326965},{"id":"https://openalex.org/keywords/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.8456902503967285},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7227567434310913},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6035517454147339},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.5165964365005493},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.5122944116592407},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5082895159721375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44411903619766235},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.442188560962677},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3938628137111664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3839561939239502},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33387428522109985},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.26112625002861023},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09403559565544128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.884419322013855},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8776028752326965},{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.8456902503967285},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7227567434310913},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6035517454147339},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.5165964365005493},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.5122944116592407},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5082895159721375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44411903619766235},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.442188560962677},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3938628137111664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3839561939239502},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33387428522109985},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.26112625002861023},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09403559565544128},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3548606.3560687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3548606.3560687","pdf_url":null,"source":{"id":"https://openalex.org/S4363608815","display_name":"Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:169990","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Item"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G5042591242","display_name":null,"funder_award_id":"EP/V056883/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7282611729","display_name":null,"funder_award_id":"EP/R007195/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8597009950","display_name":null,"funder_award_id":"EP/N510129/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2027595342","https://openalex.org/W2130486630","https://openalex.org/W2149033360","https://openalex.org/W2242728483","https://openalex.org/W2295598076","https://openalex.org/W2473418344","https://openalex.org/W2535690855","https://openalex.org/W2594311007","https://openalex.org/W2745801260","https://openalex.org/W2767079719","https://openalex.org/W2793685318","https://openalex.org/W2967730222","https://openalex.org/W2981645102","https://openalex.org/W2986151549","https://openalex.org/W2998640192","https://openalex.org/W3006704755","https://openalex.org/W3096328345","https://openalex.org/W3097371090","https://openalex.org/W3164712068","https://openalex.org/W3207183145","https://openalex.org/W3216660278","https://openalex.org/W4212774754","https://openalex.org/W4235817903","https://openalex.org/W4299301436","https://openalex.org/W6657138077","https://openalex.org/W6742870338"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W3038283795","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W4318559728","https://openalex.org/W2604501336","https://openalex.org/W3183136280","https://openalex.org/W2887779253"],"abstract_inverted_index":{"There":[0],"is":[1,156,173],"great":[2],"demand":[3],"for":[4,55,147],"scalable,":[5],"secure,":[6],"and":[7,40,59,100,121,143,162],"efficient":[8],"privacy-preserving":[9],"machine":[10],"learning":[11,22],"models":[12,23,35,86],"that":[13,141,165],"can":[14,36],"be":[15],"trained":[16],"over":[17],"distributed":[18],"data.":[19,72],"While":[20],"deep":[21],"typically":[24],"achieve":[25,67,176],"the":[26,116,129,159],"best":[27],"results":[28,69],"in":[29,63],"a":[30,138,167],"centralized":[31],"non-secure":[32],"setting,":[33,161],"different":[34],"excel":[37],"when":[38],"privacy":[39,112],"communication":[41],"constraints":[42],"are":[43],"imposed.":[44],"Instead,":[45],"tree-based":[46],"approaches":[47,146],"such":[48,95],"as":[49,96],"XGBoost":[50,88],"have":[51,77],"attracted":[52],"much":[53],"attention":[54],"their":[56],"high":[57,178],"performance":[58],"ease":[60],"of":[61,119,154,170,184],"use;":[62],"particular,":[64],"they":[65],"often":[66],"state-of-the-art":[68],"on":[70,79],"tabular":[71],"Consequently,":[73],"several":[74],"recent":[75],"works":[76],"focused":[78],"translating":[80],"Gradient":[81],"Boosted":[82],"Decision":[83],"Tree":[84],"(GBDT)":[85],"like":[87],"into":[89],"federated":[90,160],"settings,":[91],"via":[92],"cryptographic":[93],"mechanisms":[94],"Homomorphic":[97],"Encryption":[98],"(HE)":[99],"Secure":[101],"Multi-Party":[102],"Computation":[103],"(MPC).":[104],"However,":[105],"these":[106],"do":[107],"not":[108],"always":[109],"provide":[110],"formal":[111],"guarantees,":[113],"or":[114],"consider":[115],"full":[117],"range":[118],"hyperparameters":[120],"implementation":[122],"settings.":[123],"In":[124],"this":[125],"work,":[126],"we":[127,163],"implement":[128],"GBDT":[130],"model":[131],"under":[132],"Differential":[133],"Privacy":[134],"(DP).":[135],"We":[136],"propose":[137],"general":[139],"framework":[140,153],"captures":[142],"extends":[144],"existing":[145],"differentially":[148],"private":[149],"decision":[150],"trees.":[151],"Our":[152],"methods":[155],"tailored":[157],"to":[158,175],"show":[164],"with":[166],"careful":[168],"choice":[169],"techniques":[171],"it":[172],"possible":[174],"very":[177],"utility":[179],"while":[180],"maintaining":[181],"strong":[182],"levels":[183],"privacy.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":5}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}
