{"id":"https://openalex.org/W4415378670","doi":"https://doi.org/10.5753/sbbd.2025.246990","title":"Aprendizado Federado Incremental e Sens\u00edvel ao Risco para Modelos de Ranqueamento em Cen\u00e1rios com Distribui\u00e7\u00f5es Heterog\u00eaneas de Dados","display_name":"Aprendizado Federado Incremental e Sens\u00edvel ao Risco para Modelos de Ranqueamento em Cen\u00e1rios com Distribui\u00e7\u00f5es Heterog\u00eaneas de Dados","publication_year":2025,"publication_date":"2025-09-29","ids":{"openalex":"https://openalex.org/W4415378670","doi":"https://doi.org/10.5753/sbbd.2025.246990"},"language":null,"primary_location":{"id":"doi:10.5753/sbbd.2025.246990","is_oa":true,"landing_page_url":"https://doi.org/10.5753/sbbd.2025.246990","pdf_url":"https://sol.sbc.org.br/index.php/sbbd/article/download/37224/37007","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XL Simp\u00f3sio Brasileiro de Banco de Dados (SBBD 2025)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://sol.sbc.org.br/index.php/sbbd/article/download/37224/37007","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114429059","display_name":"Gestefane Rabbi","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gestefane Rabbi","raw_affiliation_strings":["Universidade Federal de Minas Gerais (UFMG)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais (UFMG)","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082661016","display_name":"Celso Fran\u00e7a","orcid":"https://orcid.org/0000-0002-0251-7172"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Celso Fran\u00e7a","raw_affiliation_strings":["Universidade Federal de Minas Gerais (UFMG)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais (UFMG)","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091429779","display_name":"Daniel Xavier de Sousa","orcid":"https://orcid.org/0000-0002-9426-9988"},"institutions":[{"id":"https://openalex.org/I4210132153","display_name":"Instituto Federal de Goi\u00e1s","ror":"https://ror.org/03gq9pd80","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210132153"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Daniel Xavier de Sousa","raw_affiliation_strings":["Instituto Federal de Goi\u00e1s (IFG)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Federal de Goi\u00e1s (IFG)","institution_ids":["https://openalex.org/I4210132153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024659734","display_name":"Thierson Couto Rosa","orcid":"https://orcid.org/0000-0001-7117-3994"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thierson Couto Rosa","raw_affiliation_strings":["Universidade Federal de Goi\u00e1s (UFG)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Goi\u00e1s (UFG)","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084044470","display_name":"Jussara M. Almeida","orcid":"https://orcid.org/0000-0001-9142-2919"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jussara M. Almeida","raw_affiliation_strings":["Universidade Federal de Minas Gerais (UFMG)"],"raw_orcid":"https://orcid.org/0000-0001-9142-2919","affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais (UFMG)","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046370637","display_name":"Marcos Andr\u00e9 Gon\u00e7alves","orcid":"https://orcid.org/0000-0002-2075-3363"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos Andr\u00e9 Gon\u00e7alves","raw_affiliation_strings":["Universidade Federal de Minas Gerais (UFMG)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais (UFMG)","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31731449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9950000047683716,"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/T11106","display_name":"Data Management and Algorithms","score":0.9950000047683716,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9927999973297119,"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/T11719","display_name":"Data Quality and Management","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.2921000123023987},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.23669999837875366},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.22789999842643738}],"concepts":[{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.3330000042915344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31130000948905945},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2669999897480011},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.257999986410141},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.249099999666214},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.23669999837875366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.23250000178813934},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.22789999842643738},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21729999780654907}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5753/sbbd.2025.246990","is_oa":true,"landing_page_url":"https://doi.org/10.5753/sbbd.2025.246990","pdf_url":"https://sol.sbc.org.br/index.php/sbbd/article/download/37224/37007","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XL Simp\u00f3sio Brasileiro de Banco de Dados (SBBD 2025)","raw_type":"proceedings-article"},{"id":"doi:10.5753/sbsi_estendido.2026.249072","is_oa":true,"landing_page_url":"https://doi.org/10.5753/sbsi_estendido.2026.249072","pdf_url":"https://sol.sbc.org.br/index.php/sbsi_estendido/article/download/41991/41760","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais Estendidos do Simp\u00f3sio Brasileiro de Sistemas de Informa\u00e7\u00e3o (Anais Estendidos do SBSI)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5753/sbbd.2025.246990","is_oa":true,"landing_page_url":"https://doi.org/10.5753/sbbd.2025.246990","pdf_url":"https://sol.sbc.org.br/index.php/sbbd/article/download/37224/37007","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XL Simp\u00f3sio Brasileiro de Banco de Dados (SBBD 2025)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415378670.pdf","grobid_xml":"https://content.openalex.org/works/W4415378670.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W2069870183","https://openalex.org/W2109154214","https://openalex.org/W2340394573","https://openalex.org/W2787894218","https://openalex.org/W3022917197","https://openalex.org/W3097060730","https://openalex.org/W4224289668","https://openalex.org/W4284689323","https://openalex.org/W4403407608","https://openalex.org/W4408969129"],"related_works":[],"abstract_inverted_index":{"Esta":[0],"disserta\u00e7\u00e3o":[1,189],"apresenta":[2,141],"o":[3,99,106,139,192,212],"FedRisk,":[4],"uma":[5,71,142,152,163],"abordagem":[6],"in\u00e9dita":[7],"de":[8,24,29,47,54,60,67,73,78,89,110,123,132,145,174,177,182,186,194,196,214,218],"Federated":[9],"Learning":[10],"to":[11],"Rank":[12],"(FLTR)":[13],"projetada":[14],"para":[15,150,191],"enfrentar":[16],"um":[17,45],"dos":[18,22,58,136,155],"desafios":[19],"mais":[20],"cr\u00edticos":[21],"Sistemas":[23,195],"Informa\u00e7\u00e3o":[25,197],"distribu\u00eddos:":[26],"a":[27,63,70,126,202],"agrega\u00e7\u00e3o":[28,48,146],"modelos":[30],"sob":[31],"heterogeneidade":[32,158],"e":[33,37,85,114,162,180,184,200],"distribui\u00e7\u00f5es":[34],"n\u00e3o":[35,38],"independentes":[36],"identicamente":[39],"distribu\u00eddas":[40],"(n\u00e3o-IID).":[41],"A":[42],"proposta":[43],"integra":[44],"mecanismo":[46],"sens\u00edvel":[49,147],"ao":[50,117,128,148,216],"risco":[51,149],"\u2014":[52,69],"capaz":[53],"ponderar":[55],"as":[56],"atualiza\u00e7\u00f5es":[57],"clientes":[59],"acordo":[61],"com":[62,211],"variabilidade":[64],"do":[65],"erro":[66],"predi\u00e7\u00e3o":[68],"estrat\u00e9gia":[72],"estabiliza\u00e7\u00e3o":[74],"baseada":[75],"na":[76],"incorpora\u00e7\u00e3o":[77],"par\u00e2metros":[79],"globais":[80],"hist\u00f3ricos,":[81],"promovendo":[82],"maior":[83],"robustez":[84],"estabilidade":[86],"no":[87,94,159,222],"processo":[88],"converg\u00eancia":[90],"federada.":[91],"Experimentos":[92],"extensivos":[93],"benchmark":[95],"MSLR-WEB10K":[96],"demonstram":[97],"que":[98],"FedRisk":[100],"supera":[101],"abordagens":[102],"federadas":[103],"consolidadas,":[104],"como":[105],"FedProx,":[107],"alcan\u00e7ando":[108],"ganho":[109],"15,6%":[111],"em":[112,120,167],"nDCG@5":[113],"desempenho":[115],"equivalente":[116],"treinamento":[118],"centralizado":[119],"nDCG@10,":[121],"al\u00e9m":[122,135],"reduzir":[124],"substancialmente":[125],"vari\u00e2ncia":[127],"longo":[129],"das":[130],"rodadas":[131],"comunica\u00e7\u00e3o.":[133],"Para":[134],"ganhos":[137],"emp\u00edricos,":[138],"trabalho":[140],"formula\u00e7\u00e3o":[143],"principiada":[144],"FLTR,":[151],"an\u00e1lise":[153],"sistem\u00e1tica":[154],"efeitos":[156],"da":[157],"ranqueamento":[160],"federado":[161],"valida\u00e7\u00e3o":[164],"experimental":[165],"abrangente":[166],"cen\u00e1rios":[168],"distribu\u00eddos":[169],"realistas.":[170],"Ao":[171],"integrar":[172],"Recupera\u00e7\u00e3o":[173],"Informa\u00e7\u00e3o,":[175],"Aprendizado":[176],"M\u00e1quina":[178],"Distribu\u00eddo":[179],"princ\u00edpios":[181],"privacidade":[183],"governan\u00e7a":[185],"dados,":[187],"esta":[188],"contribui":[190],"avan\u00e7o":[193],"escal\u00e1veis,":[198],"inteligentes":[199],"alinhados":[201],"requisitos":[203],"regulat\u00f3rios":[204],"contempor\u00e2neos.":[205],"Sua":[206],"relev\u00e2ncia":[207],"cient\u00edfica":[208],"foi":[209],"reconhecida":[210],"pr\u00eamio":[213],"Honra":[215],"M\u00e9rito":[217],"Melhor":[219],"Artigo":[220],"Completo":[221],"SBBD":[223],"2025.":[224]},"counts_by_year":[],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-21T00:00:00"}