{"id":"https://openalex.org/W22680141","doi":null,"title":"Privacy in Multi-Agent Learning: Securely Inducing a Multi-Agent Decision Tree","display_name":"Privacy in Multi-Agent Learning: Securely Inducing a Multi-Agent Decision Tree","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W22680141","mag":"22680141"},"language":"en","primary_location":{"id":"pmh:oai:documentserver.uhasselt.be:1942/976","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/1942/976","pdf_url":null,"source":{"id":"https://openalex.org/S4306401926","display_name":"Document Server@UHasselt (UHasselt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I878454856","host_organization_name":"Hasselt University","host_organization_lineage":["https://openalex.org/I878454856"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5008547992","display_name":"Karl Tuyls","orcid":"https://orcid.org/0000-0001-7929-1944","observed_orcids":["https://orcid.org/0000-0001-7929-1944","https://orcid.org/0000-0001-6346-4564"]},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Karl Tuyls","raw_affiliation_strings":["Maastricht Univ"],"raw_orcid":"https://orcid.org/0000-0001-7929-1944","affiliations":[{"raw_affiliation_string":"Maastricht Univ","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035702185","display_name":"Bart Kuijpers","orcid":"https://orcid.org/0000-0001-5774-0948","observed_orcids":["https://orcid.org/0000-0001-5774-0948"]},"institutions":[{"id":"https://openalex.org/I878454856","display_name":"Hasselt University","ror":"https://ror.org/04nbhqj75","country_code":"BE","type":"education","lineage":["https://openalex.org/I878454856"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bart Kuijpers","raw_affiliation_strings":["University of Hasselt"],"raw_orcid":"https://orcid.org/0000-0001-5774-0948","affiliations":[{"raw_affiliation_string":"University of Hasselt","institution_ids":["https://openalex.org/I878454856"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00338606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"427","last_page":"438"},"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/T10927","display_name":"Access Control and Trust","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/privacy-preserving-machine-learning","display_name":"privacy-preserving machine learning","score":0.7940000295639038},{"id":"https://openalex.org/keywords/multi-agent-learning","display_name":"multi-agent learning","score":0.8949999809265137},{"id":"https://openalex.org/keywords/decision-tree-induction","display_name":"decision tree induction","score":0.8809999823570251},{"id":"https://openalex.org/keywords/id3-algorithm","display_name":"ID3","score":0.7749999761581421},{"id":"https://openalex.org/keywords/distributed-data","display_name":"distributed data","score":0.6930000185966492},{"id":"https://openalex.org/keywords/data-merging","display_name":"data merging","score":0.5429999828338623},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"privacy preservation","score":0.3190000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8170748353004456},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5948673486709595},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5704079866409302},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5308350920677185},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5007762908935547},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4934498369693756},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.41622766852378845},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37177878618240356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36129897832870483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3540569543838501},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35191506147384644},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.303110808134079},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1348360776901245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08339685201644897},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:documentserver.uhasselt.be:1942/976","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/1942/976","pdf_url":null,"source":{"id":"https://openalex.org/S4306401926","display_name":"Document Server@UHasselt (UHasselt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I878454856","host_organization_name":"Hasselt University","host_organization_lineage":["https://openalex.org/I878454856"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"mag:22680141","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/eumas/eumas2005.html#TuylsK05","pdf_url":null,"source":{"id":"https://openalex.org/S4306418390","display_name":"European Workshop on Multi-Agent Systems","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"European Workshop on Multi-Agent Systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1528076390","https://openalex.org/W1539181550","https://openalex.org/W1540042877","https://openalex.org/W1574534563","https://openalex.org/W2002352982","https://openalex.org/W2027471022","https://openalex.org/W2088492763","https://openalex.org/W2112022568","https://openalex.org/W2128906841","https://openalex.org/W2149706766"],"related_works":["https://openalex.org/W2164379191","https://openalex.org/W1589426267","https://openalex.org/W1586655226","https://openalex.org/W2592812740","https://openalex.org/W2496449552","https://openalex.org/W1991293161","https://openalex.org/W7097657375","https://openalex.org/W7095968834","https://openalex.org/W2287796219","https://openalex.org/W7098448175"],"abstract_inverted_index":{"In":[0],"this":[1,72,102,176],"paper":[2,177],"we":[3,54,81,98,115,127,139,180],"study":[4],"the":[5,40,48,95,117,120,172,189,194],"problem":[6,103],"of":[7,21,34,39,52,101,110,119,175,184],"how":[8],"multiple":[9],"distributed":[10,93,142],"agents":[11,56],"can":[12],"jointly":[13,62],"induce":[14,63],"a":[15,37,64,111,123,185],"decision":[16,65],"tree,":[17],"such":[18],"that":[19,179,188],"each":[20,33],"them":[22,35],"preserves":[23],"privacy":[24,152],"over":[25],"its":[26],"own":[27],"data":[28,59,87,129,157,165],"and":[29,32,61,159,167],"item":[30],"set":[31],"holds":[36],"part":[38],"learned":[41],"tree.":[42,66],"Our":[43],"work":[44],"is":[45,73,84,89,131,178,193],"original":[46],"in":[47,94,125],"following":[49],"ways:":[50],"First":[51],"all,":[53],"consider":[55,128],"to":[57,75,104,122],"maintain":[58],"sites":[60],"This":[67],"merely":[68],"reflects":[69],"reality,":[70],"as":[71,132,135],"unlikely":[74],"be":[76],"done":[77],"by":[78,86,108,182],"humans.":[79],"Secondly,":[80],"formalize":[82],"what":[83],"meant":[85],"which":[88,126,130,138],"horizontally":[90,136,158],"or":[91,162],"vertically":[92,134,161,166],"literature.":[96],"Thirdly,":[97],"show":[99],"significance":[100],"real":[105],"world":[106],"applications":[107],"means":[109,183],"motivating":[112],"example.":[113],"Fourthly,":[114],"generalize":[116],"state":[118],"art":[121],"situation":[124],"well":[133],"distributed,":[137],"call":[140],"grid":[141],"data.":[143],"We":[144],"discuss":[145],"two":[146],"different":[147],"evaluation":[148,191],"methods":[149],"for":[150],"preserving":[151],"ID3,":[153],"namely,":[154],"first":[155,163],"merging":[156,164],"developing":[160,169],"next":[168],"horizontally.":[170],"Finally,":[171],"main":[173],"contribution":[174],"show,":[181],"complexity":[186],"analysis,":[187],"former":[190],"method":[192],"more":[195],"efficient.":[196]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}
