{"id":"https://openalex.org/W4395050834","doi":"https://doi.org/10.1186/s40537-024-00911-y","title":"Blind Federated Learning without initial model","display_name":"Blind Federated Learning without initial model","publication_year":2024,"publication_date":"2024-04-23","ids":{"openalex":"https://openalex.org/W4395050834","doi":"https://doi.org/10.1186/s40537-024-00911-y"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-024-00911-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00911-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00911-y","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00911-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074015797","display_name":"Affiliation is wrong","orcid":"https://orcid.org/0000-0001-7811-3716"},"institutions":[{"id":"https://openalex.org/I3121512035","display_name":"Universidad Aut\u00f3noma de Chile","ror":"https://ror.org/010r9dy59","country_code":"CL","type":"education","lineage":["https://openalex.org/I3121512035"]},{"id":"https://openalex.org/I4403386682","display_name":"CUNEF Universidad","ror":"https://ror.org/02web8j86","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386682"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Jose L. Salmeron","raw_affiliation_strings":["CUNEF Universidad, Madrid, Spain","Universidad Aut\u00f3noma de Chile, Santiago, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CUNEF Universidad, Madrid, Spain","institution_ids":["https://openalex.org/I4403386682"]},{"raw_affiliation_string":"Universidad Aut\u00f3noma de Chile, Santiago, Chile","institution_ids":["https://openalex.org/I3121512035"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077946760","display_name":"Irina Ar\u00e9valo","orcid":"https://orcid.org/0000-0002-8967-0208"},"institutions":[{"id":"https://openalex.org/I4403386682","display_name":"CUNEF Universidad","ror":"https://ror.org/02web8j86","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386682"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Irina Ar\u00e9valo","raw_affiliation_strings":["CUNEF Universidad, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CUNEF Universidad, Madrid, Spain","institution_ids":["https://openalex.org/I4403386682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074015797"],"corresponding_institution_ids":["https://openalex.org/I3121512035","https://openalex.org/I4403386682"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":3.4616,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93171627,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9994999766349792,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9994999766349792,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9952999949455261,"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/T10320","display_name":"Neural Networks and Applications","score":0.9772999882698059,"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/computer-science","display_name":"Computer science","score":0.8467536568641663},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.6651907563209534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.373309850692749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3242529630661011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8467536568641663},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.6651907563209534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.373309850692749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3242529630661011}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-024-00911-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00911-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00911-y","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:95f4f1681ac84d4f80fb933b1403d2a3","is_oa":true,"landing_page_url":"https://doaj.org/article/95f4f1681ac84d4f80fb933b1403d2a3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 11, Iss 1, Pp 1-31 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-024-00911-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00911-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00911-y","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310998","display_name":"Capgemini","ror":"https://ror.org/03qx9tc91"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4395050834.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W102366918","https://openalex.org/W1484769234","https://openalex.org/W2035793819","https://openalex.org/W2036990940","https://openalex.org/W2045348364","https://openalex.org/W2092394555","https://openalex.org/W2095224843","https://openalex.org/W2112340198","https://openalex.org/W2283463896","https://openalex.org/W2344135745","https://openalex.org/W2560897075","https://openalex.org/W2564004164","https://openalex.org/W2766831133","https://openalex.org/W2769949722","https://openalex.org/W2781091734","https://openalex.org/W2896327000","https://openalex.org/W2945581919","https://openalex.org/W2999267720","https://openalex.org/W3003615630","https://openalex.org/W3039730552","https://openalex.org/W3080261024","https://openalex.org/W3109639951","https://openalex.org/W3134697179","https://openalex.org/W3196371845","https://openalex.org/W4210467916","https://openalex.org/W4220792459","https://openalex.org/W4221003273","https://openalex.org/W4292411782","https://openalex.org/W4298325559","https://openalex.org/W4306688887","https://openalex.org/W4387385682"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Abstract":[0],"Federated":[1],"learning":[2,7,36,61,88],"is":[3,27,78,96],"an":[4,82],"emerging":[5],"machine":[6,35],"approach":[8],"that":[9],"allows":[10],"the":[11,50,79,86],"construction":[12],"of":[13,62,81],"a":[14,34,67],"model":[15,37,84],"between":[16],"several":[17,99],"participants":[18],"who":[19],"hold":[20],"their":[21],"own":[22],"private":[23],"data.":[24],"This":[25,94],"method":[26],"secure":[28],"and":[29,105],"privacy-preserving,":[30],"suitable":[31],"for":[32,56],"training":[33],"using":[38],"sensitive":[39],"data":[40],"from":[41],"different":[42],"sources,":[43],"such":[44],"as":[45],"hospitals.":[46],"In":[47,70],"this":[48,75],"paper,":[49],"authors":[51],"propose":[52],"two":[53],"innovative":[54],"methodologies":[55],"Particle":[57],"Swarm":[58],"Optimisation-based":[59],"federated":[60,87],"Fuzzy":[63],"Cognitive":[64],"Maps":[65],"in":[66,85],"privacy-preserving":[68],"way.":[69],"addition,":[71],"one":[72],"relevant":[73],"contribution":[74],"research":[76],"includes":[77],"lack":[80],"initial":[83],"process,":[89],"making":[90],"it":[91],"effectively":[92],"blind.":[93],"proposal":[95],"tested":[97],"with":[98],"open":[100],"datasets,":[101],"improving":[102],"both":[103],"accuracy":[104],"precision.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}