{"id":"https://openalex.org/W3162518478","doi":"https://doi.org/10.1145/3523061","title":"An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization","display_name":"An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization","publication_year":2022,"publication_date":"2022-05-19","ids":{"openalex":"https://openalex.org/W3162518478","doi":"https://doi.org/10.1145/3523061","mag":"3162518478"},"language":"en","primary_location":{"id":"doi:10.1145/3523061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523061","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.05717","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024941348","display_name":"Lunchen Xie","orcid":"https://orcid.org/0000-0001-6885-633X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lunchen Xie","raw_affiliation_strings":["School of Software Engineering, Tongji University, Jiading District, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Jiading District, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390352","display_name":"Jiaqi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Liu","raw_affiliation_strings":["School of Software Engineering, Tongji University, Jiading District, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Jiading District, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088593720","display_name":"Songtao Lu","orcid":"https://orcid.org/0000-0001-9256-9648"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Songtao Lu","raw_affiliation_strings":["IBM Research AI, IBM Thomas J. Watson Research Center, Yorktown Heights, New York, United States"],"affiliations":[{"raw_affiliation_string":"IBM Research AI, IBM Thomas J. Watson Research Center, Yorktown Heights, New York, United States","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064271996","display_name":"Tsung\u2010Hui Chang","orcid":"https://orcid.org/0000-0003-1349-2764"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tsung-Hui Chang","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China and Shenzhen Research Institute of Big Data, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China and Shenzhen Research Institute of Big Data, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059252324","display_name":"Qingjiang Shi","orcid":"https://orcid.org/0000-0003-0507-9080"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingjiang Shi","raw_affiliation_strings":["School of Software Engineering, Tongji University, China and Shenzhen Research Institute of Big Data, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, China and Shenzhen Research Institute of Big Data, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024941348"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":6.0674,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96728174,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"13","issue":"5","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991000294685364,"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":0.9944000244140625,"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":0.9148818254470825},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.7260482907295227},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6734024882316589},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.553553581237793},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.5501309037208557},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5058638453483582},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.4644029140472412},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.44052284955978394},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.42641279101371765},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4242878258228302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3718574047088623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32045525312423706},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26548975706100464},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11547619104385376},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.1018214225769043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9148818254470825},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7260482907295227},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6734024882316589},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.553553581237793},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.5501309037208557},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5058638453483582},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.4644029140472412},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.44052284955978394},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42641279101371765},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4242878258228302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3718574047088623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32045525312423706},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26548975706100464},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11547619104385376},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.1018214225769043},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3523061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523061","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2105.05717","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.05717","pdf_url":"https://arxiv.org/pdf/2105.05717","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.05717","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.05717","pdf_url":"https://arxiv.org/pdf/2105.05717","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G5702201066","display_name":null,"funder_award_id":"JCYJ20190813171003723","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"},{"id":"https://openalex.org/G940306304","display_name":null,"funder_award_id":"61731018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335803","display_name":"Shenzhen Fundamental Research and Discipline Layout project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W104209573","https://openalex.org/W1484769234","https://openalex.org/W1524288918","https://openalex.org/W1554747120","https://openalex.org/W1990304797","https://openalex.org/W2001032894","https://openalex.org/W2073821686","https://openalex.org/W2076618162","https://openalex.org/W2112340198","https://openalex.org/W2132172731","https://openalex.org/W2141420453","https://openalex.org/W2148086182","https://openalex.org/W2233233025","https://openalex.org/W2295598076","https://openalex.org/W2535838896","https://openalex.org/W2610314927","https://openalex.org/W2618583153","https://openalex.org/W2701059868","https://openalex.org/W2766831133","https://openalex.org/W2773194476","https://openalex.org/W2895865029","https://openalex.org/W2912213068","https://openalex.org/W2914853145","https://openalex.org/W2944951172","https://openalex.org/W2963829227","https://openalex.org/W2970097841","https://openalex.org/W3003859677","https://openalex.org/W3006704755","https://openalex.org/W3024011205","https://openalex.org/W3080261024","https://openalex.org/W3102476541","https://openalex.org/W3133312630"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4390608645","https://openalex.org/W3106969033","https://openalex.org/W4247566972","https://openalex.org/W2745001401","https://openalex.org/W2960264696","https://openalex.org/W4321353415","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497"],"abstract_inverted_index":{"XGBoost":[0,42],"is":[1,33,77,114],"one":[2],"of":[3,111,125],"the":[4,12,28,58,85,98,123,126,131],"most":[5],"widely":[6],"used":[7],"machine":[8],"learning":[9,18,75],"models":[10,47,133],"in":[11,27],"industry":[13],"due":[14],"to":[15,35,57],"its":[16],"superior":[17],"accuracy":[19],"and":[20,39,64,96,118],"efficiency.":[21],"Targeting":[22],"at":[23],"data":[24,30,50],"isolation":[25],"issues":[26,52],"big":[29],"problems,":[31],"it":[32],"crucial":[34],"deploy":[36],"a":[37,70,80,92,108],"secure":[38],"efficient":[40],"federated":[41,73],"(FedXGB)":[43],"model.":[44],"Existing":[45],"FedXGB":[46,128],"either":[48],"have":[49],"leakage":[51],"or":[53],"are":[54],"only":[55],"applicable":[56],"two-party":[59],"setting":[60,95],"with":[61,79,130],"heavy":[62],"communication":[63],"computation":[65],"overheads.":[66],"In":[67],"this":[68],"article,":[69],"lossless":[71],"multi-party":[72],"XGB":[74],"framework":[76],"proposed":[78,127],"security":[81,113],"guarantee,":[82],"which":[83],"reshapes":[84],"XGBoost\u2019s":[86],"split":[87],"criterion":[88],"calculation":[89,101],"process":[90],"under":[91],"secret":[93],"sharing":[94],"solves":[97],"leaf":[99],"weight":[100],"problem":[102],"by":[103],"leveraging":[104],"distributed":[105],"optimization.":[106],"Remarkably,":[107],"thorough":[109],"analysis":[110],"model":[112],"provided":[115],"as":[116],"well,":[117],"multiple":[119],"numerical":[120],"results":[121],"showcase":[122],"superiority":[124],"compared":[129],"state-of-the-art":[132],"on":[134],"benchmark":[135],"datasets.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}