{"id":"https://openalex.org/W4388893732","doi":"https://doi.org/10.1109/tencon58879.2023.10322330","title":"A Privacy-Preserving Approach for Big Data Mining Using RainForest with Federated Learning","display_name":"A Privacy-Preserving Approach for Big Data Mining Using RainForest with Federated Learning","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388893732","doi":"https://doi.org/10.1109/tencon58879.2023.10322330"},"language":"en","primary_location":{"id":"doi:10.1109/tencon58879.2023.10322330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon58879.2023.10322330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)","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/A5102515450","display_name":"Dipu Saha","orcid":null},"institutions":[{"id":"https://openalex.org/I63169043","display_name":"United International University","ror":"https://ror.org/01tqv1p28","country_code":"BD","type":"education","lineage":["https://openalex.org/I63169043"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Dipu Saha","raw_affiliation_strings":["United International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1212"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"United International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1212","institution_ids":["https://openalex.org/I63169043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110979341","display_name":"Mainul Karim","orcid":null},"institutions":[{"id":"https://openalex.org/I63169043","display_name":"United International University","ror":"https://ror.org/01tqv1p28","country_code":"BD","type":"education","lineage":["https://openalex.org/I63169043"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mainul Karim","raw_affiliation_strings":["United International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1212"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"United International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1212","institution_ids":["https://openalex.org/I63169043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053402222","display_name":"Suriya Phongmoo","orcid":"https://orcid.org/0000-0003-1038-6667"},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Suriya Phongmoo","raw_affiliation_strings":["Chiang Mai University,Faculty of Engineering,Department of Industrial Engineering,Chiang Mai,Thailand,50200"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chiang Mai University,Faculty of Engineering,Department of Industrial Engineering,Chiang Mai,Thailand,50200","institution_ids":["https://openalex.org/I48076826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030913401","display_name":"Dewan Md. Farid","orcid":"https://orcid.org/0000-0002-6413-4898"},"institutions":[{"id":"https://openalex.org/I63169043","display_name":"United International University","ror":"https://ror.org/01tqv1p28","country_code":"BD","type":"education","lineage":["https://openalex.org/I63169043"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Dewan Md. Farid","raw_affiliation_strings":["United International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1212"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"United International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1212","institution_ids":["https://openalex.org/I63169043"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66432626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"64"},"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8060592412948608},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7610675096511841},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6968172788619995},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6535608172416687},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5983453989028931},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5887032747268677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5663516521453857},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5074145197868347},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.47764742374420166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4698466360569},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46366220712661743},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.4184042513370514},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17410162091255188},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16817143559455872}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8060592412948608},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7610675096511841},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6968172788619995},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6535608172416687},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5983453989028931},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5887032747268677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5663516521453857},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5074145197868347},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.47764742374420166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4698466360569},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46366220712661743},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.4184042513370514},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17410162091255188},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16817143559455872},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon58879.2023.10322330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon58879.2023.10322330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1637435380","https://openalex.org/W2032477387","https://openalex.org/W2138816422","https://openalex.org/W2504264036","https://openalex.org/W2530417694","https://openalex.org/W2799370108","https://openalex.org/W2883059862","https://openalex.org/W2896422817","https://openalex.org/W2912213068","https://openalex.org/W2954124071","https://openalex.org/W2963819344","https://openalex.org/W2974306260","https://openalex.org/W2974777667","https://openalex.org/W3004442686","https://openalex.org/W3006360344","https://openalex.org/W3020252469","https://openalex.org/W3112310000","https://openalex.org/W3121442875","https://openalex.org/W3157503981","https://openalex.org/W3163547718","https://openalex.org/W3206472240","https://openalex.org/W4206907230","https://openalex.org/W4220907588","https://openalex.org/W4280583421","https://openalex.org/W4280617223","https://openalex.org/W4310852955","https://openalex.org/W4377700018","https://openalex.org/W6728057340","https://openalex.org/W6728757088","https://openalex.org/W6759226220","https://openalex.org/W6802526297"],"related_works":["https://openalex.org/W618248309","https://openalex.org/W2377336366","https://openalex.org/W1568097102","https://openalex.org/W1601203902","https://openalex.org/W2075798043","https://openalex.org/W4390608645","https://openalex.org/W4390419160","https://openalex.org/W4225671779","https://openalex.org/W2102464536","https://openalex.org/W2908411463"],"abstract_inverted_index":{"Federated":[0],"Learning":[1,5],"(FL)":[2],"in":[3],"Machine":[4],"(ML)":[6],"has":[7],"become":[8],"very":[9],"popular":[10],"nowadays":[11],"because":[12],"it":[13],"trains":[14,131],"classifiers":[15],"across":[16],"multiple":[17],"decentralized":[18,30],"devices":[19],"without":[20],"transferring":[21],"data":[22,55,73,91,106],"to":[23,88,122,152],"a":[24,29,66,94],"central":[25,112,124,147],"server.":[26,113,125,148],"It":[27,114],"is":[28],"learning":[31],"approach":[32,68],"that":[33,167],"amalgamates":[34],"several":[35],"different":[36],"nodes":[37],"into":[38],"one.":[39],"In":[40,60],"2016,":[41],"Google":[42],"introduced":[43],"the":[44,49,84,105,111,117,123,139,146,154,164,168],"concept":[45,82,156],"of":[46,53,83,163],"FL":[47],"when":[48],"use":[50],"and":[51,137,141,173],"misuse":[52],"personal":[54,108],"were":[56],"gaining":[57],"global":[58],"attention.":[59],"this":[61],"paper,":[62],"we":[63],"have":[64,150],"proposed":[65,100,155],"privacy-preserving":[67],"for":[69],"mining":[70],"big":[71,90],"personalized":[72],"employing":[74],"scalable":[75],"decision":[76],"tree":[77],"induction":[78],"with":[79,110,145],"FL.":[80],"The":[81,99,161],"RainForest":[85],"framework":[86],"refers":[87],"addressing":[89],"challenges":[92],"via":[93],"Decision":[95],"Tree":[96],"(DT)":[97],"classifier.":[98],"method":[101],"does":[102],"not":[103],"share":[104],"or":[107,129],"information":[109],"only":[115],"transfers":[116],"local":[118,134],"models'":[119],"parameter":[120],"values":[121,144],"Each":[126],"individual":[127],"device":[128],"node":[130],"its":[132],"own":[133],"DT":[135],"classifier":[136],"shares":[138],"prior":[140],"conditional":[142],"probability":[143],"We":[149],"tried":[151],"simulate":[153],"using":[157],"five":[158],"benchmark":[159],"datasets.":[160],"results":[162],"evaluation":[165],"indicate":[166],"model":[169],"exhibits":[170],"exceptional":[171],"performance":[172],"accuracy.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
