{"id":"https://openalex.org/W4409185445","doi":"https://doi.org/10.1109/trustcom63139.2024.00122","title":"Toward Privacy-Preserving and Verifiable XGBoost Training for Horizontal Federated Learning","display_name":"Toward Privacy-Preserving and Verifiable XGBoost Training for Horizontal Federated Learning","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4409185445","doi":"https://doi.org/10.1109/trustcom63139.2024.00122"},"language":"en","primary_location":{"id":"doi:10.1109/trustcom63139.2024.00122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/trustcom63139.2024.00122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)","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/A5083065299","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0001-8948-9516"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Xu","raw_affiliation_strings":["Xidian University,School of Cyber Engineering,Xi’an,China,710126"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Cyber Engineering,Xi’an,China,710126","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021292791","display_name":"Hui Zhu","orcid":"https://orcid.org/0000-0002-5853-633X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhu","raw_affiliation_strings":["Xidian University,School of Cyber Engineering,Xi’an,China,710126"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Cyber Engineering,Xi’an,China,710126","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050559354","display_name":"Chang Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Xiao","raw_affiliation_strings":["Xidian University,School of Cyber Engineering,Xi’an,China,710126"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Cyber Engineering,Xi’an,China,710126","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101864760","display_name":"Fengwei Wang","orcid":"https://orcid.org/0000-0002-6886-8258"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengwei Wang","raw_affiliation_strings":["Xidian University,School of Cyber Engineering,Xi’an,China,710126"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Cyber Engineering,Xi’an,China,710126","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101790997","display_name":"Dengguo Feng","orcid":"https://orcid.org/0000-0002-8515-7124"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dengguo Feng","raw_affiliation_strings":["State Key Laboratory of Computer Science,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Science,Beijing,China,100190","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423804","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-5244-9473"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["Xidian University,School of Cyber Engineering,Xi’an,China,710126"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Cyber Engineering,Xi’an,China,710126","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083065299"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2680289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"810","last_page":"817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9965999722480774,"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":0.9965999722480774,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9222999811172485,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9132000207901001,"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/verifiable-secret-sharing","display_name":"Verifiable secret sharing","score":0.9120209813117981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7499282360076904},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5742103457450867},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4698837101459503},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.38991808891296387},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.32636556029319763},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09422457218170166},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0531478226184845}],"concepts":[{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.9120209813117981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499282360076904},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5742103457450867},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4698837101459503},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38991808891296387},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.32636556029319763},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09422457218170166},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0531478226184845},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/trustcom63139.2024.00122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/trustcom63139.2024.00122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2018098791","https://openalex.org/W2295598076","https://openalex.org/W2767079719","https://openalex.org/W2963540401","https://openalex.org/W3110845456","https://openalex.org/W3111353949","https://openalex.org/W3202158428","https://openalex.org/W3211993156","https://openalex.org/W3212079419","https://openalex.org/W4313350237","https://openalex.org/W4315779371","https://openalex.org/W4323338423","https://openalex.org/W4328028625","https://openalex.org/W4328028798","https://openalex.org/W4367277161","https://openalex.org/W4376851503","https://openalex.org/W4388351329","https://openalex.org/W4395078210","https://openalex.org/W4396215566","https://openalex.org/W4399339292","https://openalex.org/W4399573658","https://openalex.org/W6728757088","https://openalex.org/W6764838729","https://openalex.org/W6838754706"],"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":{"XGBoost,":[0],"a":[1,14,91,105,140,166,176],"widely-used":[2],"machine":[3],"learning":[4,18],"algorithm,":[5],"has":[6],"been":[7,65],"applied":[8],"across":[9],"various":[10],"fields.":[11],"To":[12,85],"develop":[13],"high-quality":[15],"model,":[16],"federated":[17,100],"is":[19],"employed,":[20],"allowing":[21],"participants":[22],"to":[23,55,67,112,146,174],"keep":[24],"their":[25],"data":[26],"localized":[27],"while":[28],"sharing":[29],"gradients":[30,41],"for":[31,98,122,179,202],"global":[32],"model":[33,178],"training.":[34],"However,":[35],"recent":[36],"studies":[37],"have":[38,64],"shown":[39],"that":[40,189],"can":[42,192],"leak":[43],"sensitive":[44],"information,":[45],"and":[46,61,79,93,119,132,162,168,185,198],"even":[47],"when":[48],"protected,":[49],"they":[50,71],"might":[51],"still":[52,72],"be":[53],"vulnerable":[54],"certain":[56,83],"attacks.":[57],"While":[58],"several":[59],"privacy-preserving":[60,92,167],"verifiable":[62,94,169],"schemes":[63],"proposed":[66],"address":[68],"this":[69],"issue,":[70],"face":[73],"limitations":[74],"in":[75,82],"terms":[76],"of":[77],"computational":[78],"communication":[80,130],"costs":[81,131],"scenarios.":[84],"solve":[86],"the":[87,129,134,148,194],"problem,":[88],"we":[89,103,138,164],"propose":[90,104,165],"XGBoost":[95,177,200],"training":[96,135,201],"scheme":[97,191],"horizontal":[99,180],"learning.":[101],"First,":[102],"masking":[106],"with":[107],"one-time":[108],"padding":[109],"protocol":[110,144],"(MOTP)":[111],"securely":[113],"aggregate":[114],"gradients,":[115],"supporting":[116],"both":[117],"online":[118],"offline":[120],"modes":[121],"generating":[123],"random":[124],"masks.":[125],"Both":[126],"approaches":[127],"reduce":[128],"improve":[133],"efficiency.":[136,158],"Next,":[137],"present":[139],"linear":[141],"aggregation":[142],"verification":[143,157],"(LAVP)":[145],"ensure":[147],"gradient":[149],"integrity,":[150],"which":[151],"avoids":[152],"complex":[153],"computations,":[154],"thereby":[155],"improving":[156],"Building":[159],"on":[160],"MOTP":[161],"LAVP,":[163],"internal":[170],"node":[171],"construction":[172],"algorithm":[173],"train":[175],"data.":[181,205],"Detailed":[182],"security":[183],"analysis":[184],"extensive":[186],"experiments":[187],"demonstrate":[188],"our":[190],"achieve":[193],"privacy-preserving,":[195],"verifiable,":[196],"lossless,":[197],"efficient":[199],"horizontally":[203],"partitioned":[204]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}