{"id":"https://openalex.org/W7125897913","doi":"https://doi.org/10.1109/smc58881.2025.11343348","title":"Federated Deep Latent Factor Model for Privacy-Preserving Recommendation","display_name":"Federated Deep Latent Factor Model for Privacy-Preserving Recommendation","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125897913","doi":"https://doi.org/10.1109/smc58881.2025.11343348"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5101868492","display_name":"Jing Gao","orcid":"https://orcid.org/0000-0001-8621-1316"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"JunXiang Gao","raw_affiliation_strings":["Southwest University,College of Computer and Information Science,Chongqing,China,400715"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science,Chongqing,China,400715","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023935378","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-5622-7488"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["Southwest University,College of Computer and Information Science,Chongqing,China,400715"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science,Chongqing,China,400715","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008114041","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0002-9254-4413"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Chen","raw_affiliation_strings":["Beihang University,School of Cyber Science and Technology,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Cyber Science and Technology,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124148617","display_name":"Min Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhou","raw_affiliation_strings":["Southwest University,Office of Informatization Construction,Chongqing,China,400715"],"affiliations":[{"raw_affiliation_string":"Southwest University,Office of Informatization Construction,Chongqing,China,400715","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101441851","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0002-4448-8971"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["Southwest University,College of Computer and Information Science,Chongqing,China,400715"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science,Chongqing,China,400715","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101868492"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85116319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1689","last_page":"1694"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.7965999841690063,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.7965999841690063,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.10790000110864639,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.010499999858438969,"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/recommender-system","display_name":"Recommender system","score":0.8134999871253967},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.720300018787384},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6593999862670898},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5940999984741211},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.42579999566078186},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.42179998755455017},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.39489999413490295},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.3750999867916107},{"id":"https://openalex.org/keywords/data-sharing","display_name":"Data sharing","score":0.3499000072479248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8274000287055969},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8134999871253967},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.720300018787384},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6593999862670898},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5940999984741211},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.42579999566078186},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.42179998755455017},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.39489999413490295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39100000262260437},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.3750999867916107},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.3499000072479248},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.33250001072883606},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33160001039505005},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3075999915599823},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2971000075340271},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2815999984741211},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C2780102126","wikidata":"https://www.wikidata.org/wiki/Q10928179","display_name":"Online and offline","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1720514416","https://openalex.org/W2054141820","https://openalex.org/W2588335173","https://openalex.org/W2740920897","https://openalex.org/W2907017794","https://openalex.org/W2945827670","https://openalex.org/W2946242656","https://openalex.org/W2996967608","https://openalex.org/W3012669703","https://openalex.org/W3034790665","https://openalex.org/W3047753861","https://openalex.org/W3047789363","https://openalex.org/W3064112253","https://openalex.org/W3085441456","https://openalex.org/W3127476452","https://openalex.org/W3127674762","https://openalex.org/W3153539640","https://openalex.org/W3174074918","https://openalex.org/W3176211171","https://openalex.org/W4287887777","https://openalex.org/W4295046681","https://openalex.org/W4316661284","https://openalex.org/W4381199046","https://openalex.org/W4381894803","https://openalex.org/W4383899689","https://openalex.org/W4385768177","https://openalex.org/W4386811891","https://openalex.org/W4387885678","https://openalex.org/W4388551921","https://openalex.org/W4389776655","https://openalex.org/W4391308405","https://openalex.org/W4400878306","https://openalex.org/W4401507368","https://openalex.org/W4403577937","https://openalex.org/W4407507065","https://openalex.org/W4407782988"],"related_works":[],"abstract_inverted_index":{"Recommender":[0],"systems":[1,72],"(RSs)":[2],"are":[3],"extensively":[4],"applied":[5],"in":[6,83,167],"various":[7],"domains,":[8],"such":[9,75],"as":[10,37,51,76],"e-commerce":[11],"and":[12,27,81,89,140],"online":[13],"media":[14],"services,":[15],"to":[16,58,105,123,135,145],"enhance":[17],"user":[18,38,111,130,147],"experience.":[19],"Traditional":[20],"RSs":[21],"rely":[22],"on":[23,155],"centralized":[24],"data":[25,40,77],"collection":[26],"model":[28,63,124,134],"training,":[29],"which,":[30],"while":[31,109,149],"effective,":[32],"raise":[33],"serious":[34],"privacy":[35],"concerns":[36],"interaction":[39],"may":[41],"contain":[42],"sensitive":[43],"personal":[44],"information.":[45],"Federated":[46],"Learning":[47],"(FL)":[48],"has":[49],"emerged":[50],"a":[52,61,97],"promising":[53],"solution":[54],"by":[55],"allowing":[56],"users":[57,88],"collaboratively":[59],"train":[60],"global":[62],"without":[64],"sharing":[65],"their":[66],"raw":[67],"data.":[68],"However,":[69],"federated":[70,99,164],"recommender":[71,165],"face":[73],"challenges,":[74,94],"sparsity,":[78],"personalization":[79],"limitations,":[80],"difficulties":[82],"capturing":[84],"complex":[85,125],"relationships":[86],"between":[87],"items.":[90],"To":[91],"address":[92],"these":[93],"we":[95],"propose":[96],"novel":[98],"deep":[100,120],"latent":[101],"factor":[102],"framework":[103],"(FedDeepLF)":[104],"improve":[106],"recommendation":[107,151],"accuracy":[108],"preserving":[110],"privacy.":[112],"FedDeepLF":[113,160],"introduces":[114],"three":[115],"key":[116],"innovations:":[117],"(1)":[118],"utilizing":[119],"neural":[121],"networks":[122],"user-item":[126],"interactions;":[127],"(2)":[128],"incorporating":[129],"ratings":[131,144],"into":[132],"the":[133],"better":[136],"capture":[137],"individual":[138],"preferences;":[139],"(3)":[141],"generating":[142],"synthetic":[143],"protect":[146],"interactions":[148],"improving":[150],"quality.":[152],"Extensive":[153],"experiments":[154],"five":[156],"datasets":[157],"demonstrate":[158],"that":[159],"significantly":[161],"outperforms":[162],"state-of-the-art":[163],"models":[166],"terms":[168],"of":[169],"prediction":[170],"accuracy.":[171]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}