{"id":"https://openalex.org/W4404480593","doi":"https://doi.org/10.1109/tc.2024.3500383","title":"Distributed Differentially Private Matrix Factorization for Implicit Data via\u00a0Secure\u00a0Aggregation","display_name":"Distributed Differentially Private Matrix Factorization for Implicit Data via\u00a0Secure\u00a0Aggregation","publication_year":2024,"publication_date":"2024-11-18","ids":{"openalex":"https://openalex.org/W4404480593","doi":"https://doi.org/10.1109/tc.2024.3500383"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2024.3500383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2024.3500383","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069201554","display_name":"Chenhong Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenhong Luo","raw_affiliation_strings":["College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yong Wang","orcid":"https://orcid.org/0000-0002-5247-043X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wang","raw_affiliation_strings":["School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, China","School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, Chongqing"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, Chongqing","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yanjun Zhang","orcid":"https://orcid.org/0000-0001-5611-3483"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yanjun Zhang","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","School of Computer Science, University of Technology Sydney, Sydney, New South Wales, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Sydney, New South Wales, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015011245","display_name":"Leo Yu Zhang","orcid":"https://orcid.org/0000-0001-9330-2662"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Leo Yu Zhang","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Southport, QLD, Australia","School of Information and Communication Technology, Griffith University, Southport, Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Southport, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Southport, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069201554"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":2.0535,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88273633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"74","issue":"2","first_page":"705","last_page":"716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7380800843238831},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.576071560382843},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4760151505470276},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45314204692840576},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4475098252296448},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.41608932614326477},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34617623686790466},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2965683043003082},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09548553824424744},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08823448419570923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7380800843238831},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.576071560382843},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4760151505470276},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45314204692840576},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4475098252296448},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.41608932614326477},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34617623686790466},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2965683043003082},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09548553824424744},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08823448419570923},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tc.2024.3500383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2024.3500383","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/28300964","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"Journal contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/28300964","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"Journal contribution"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1871489870","display_name":null,"funder_award_id":"62272077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5040985802","display_name":null,"funder_award_id":"72301050","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W44936433","https://openalex.org/W1485800369","https://openalex.org/W2101409192","https://openalex.org/W2123147099","https://openalex.org/W2124187902","https://openalex.org/W2473418344","https://openalex.org/W2508667469","https://openalex.org/W2535690855","https://openalex.org/W2566050141","https://openalex.org/W2594311007","https://openalex.org/W2605350416","https://openalex.org/W2767079719","https://openalex.org/W2789607830","https://openalex.org/W2798559676","https://openalex.org/W2914721378","https://openalex.org/W2952988307","https://openalex.org/W2965925485","https://openalex.org/W2970408908","https://openalex.org/W2998569132","https://openalex.org/W3035751864","https://openalex.org/W3130560132","https://openalex.org/W3153539640","https://openalex.org/W3201463768","https://openalex.org/W3212143648","https://openalex.org/W3213920736","https://openalex.org/W4205228770","https://openalex.org/W4210557021","https://openalex.org/W4225642165","https://openalex.org/W4309930079","https://openalex.org/W4312221817","https://openalex.org/W4317987705","https://openalex.org/W4360994195","https://openalex.org/W4387623961","https://openalex.org/W6680830989"],"related_works":["https://openalex.org/W2794559785","https://openalex.org/W1754499339","https://openalex.org/W2013873776","https://openalex.org/W2950281908","https://openalex.org/W2963117165","https://openalex.org/W2084977674","https://openalex.org/W2583828359","https://openalex.org/W3102011585","https://openalex.org/W1973739845","https://openalex.org/W119752240"],"abstract_inverted_index":{"Implicit":[0],"feedback":[1,78,110],"data":[2,54,111],"has":[3],"become":[4],"the":[5,21,39,68,87,95,115,125,134,159],"primary":[6],"choice":[7],"for":[8,18,42,55,108],"building":[9],"recommendation":[10,72,165],"models":[11,41],"due":[12],"to":[13,48,63,86],"its":[14],"abundance":[15],"and":[16,28,80],"ease":[17],"collection":[19],"in":[20,112],"real":[22],"world.":[23],"The":[24,150],"strong":[25],"generalization":[26],"capability":[27],"high":[29,164],"computational":[30],"efficiency":[31],"of":[32,38,52,67,90,127],"matrix":[33,106],"factorization":[34,107],"make":[35],"it":[36],"one":[37],"principal":[40],"constructing":[43],"recommender":[44,116],"systems.":[45],"Recommenders":[46],"have":[47],"collect":[49],"vast":[50],"amounts":[51],"user":[53,64],"model":[56],"training,":[57],"which":[58],"poses":[59],"a":[60,102,128],"significant":[61],"threat":[62],"privacy.":[65],"Most":[66],"current":[69],"privacy":[70,88],"enhancing":[71],"systems":[73],"mainly":[74],"focus":[75],"on":[76,153],"explicit":[77],"data,":[79],"there":[81],"are":[82],"limited":[83],"studies":[84],"dedicated":[85],"protection":[89],"implicit":[91,109],"recommender.":[92],"To":[93],"bridge":[94],"existing":[96],"research":[97],"gap,":[98],"this":[99],"paper":[100],"designs":[101],"distributed":[103],"differentially":[104],"private":[105],"scenarios":[113],"where":[114],"is":[117],"not":[118,122],"trusted.":[119],"Our":[120],"mechanism":[121,146,161],"only":[123],"eliminates":[124],"assumption":[126],"trusted":[129],"recommender,":[130],"but":[131],"also":[132],"achieves":[133],"same":[135],"accuracy":[136],"as":[137],"CDP-based":[138],"privacy-preserving":[139],"MF":[140],"model.":[141],"We":[142],"prove":[143],"that":[144,158],"our":[145],"satisfies":[147],"<inline-formula><tex-math":[148],"notation=\"LaTeX\">$(\\epsilon,\\delta)$</tex-math></inline-formula>-CDP.":[149],"experimental":[151],"results":[152],"three":[154],"public":[155],"datasets":[156],"confirm":[157],"proposed":[160],"can":[162],"achieve":[163],"quality.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
