{"id":"https://openalex.org/W4388521880","doi":"https://doi.org/10.1109/fuzz52849.2023.10309757","title":"Federated Similarity-Based Learning with Incomplete Data","display_name":"Federated Similarity-Based Learning with Incomplete Data","publication_year":2023,"publication_date":"2023-08-13","ids":{"openalex":"https://openalex.org/W4388521880","doi":"https://doi.org/10.1109/fuzz52849.2023.10309757"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz52849.2023.10309757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz52849.2023.10309757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Fuzzy Systems (FUZZ)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://cris.maastrichtuniversity.nl/ws/files/176083759/Wilbik-2023-Federated-similarity-based-learning.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024660370","display_name":"Barbara P\u0229kala","orcid":"https://orcid.org/0000-0002-5501-5467"},"institutions":[{"id":"https://openalex.org/I4210109085","display_name":"University of Information Technology and Management in Rzeszow","ror":"https://ror.org/01t81sv44","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210109085"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Barbara Pekala","raw_affiliation_strings":["University of Rzeszów, University of Information Technology and Management,Rzeszów,Poland"],"affiliations":[{"raw_affiliation_string":"University of Rzeszów, University of Information Technology and Management,Rzeszów,Poland","institution_ids":["https://openalex.org/I4210109085"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053209420","display_name":"Jaros\u0142aw Szko\u0142a","orcid":"https://orcid.org/0000-0002-6043-3313"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaroslaw Szkola","raw_affiliation_strings":["University of Rzeszów,Rzeszów,Poland"],"affiliations":[{"raw_affiliation_string":"University of Rzeszów,Rzeszów,Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038493235","display_name":"Krzysztof Dyczkowski","orcid":"https://orcid.org/0000-0002-2897-3176"},"institutions":[{"id":"https://openalex.org/I59411706","display_name":"Adam Mickiewicz University in Pozna\u0144","ror":"https://ror.org/04g6bbq64","country_code":"PL","type":"education","lineage":["https://openalex.org/I59411706"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krzysztof Dyczkowski","raw_affiliation_strings":["Adam Mickiewicz University,Poznan,Poland","Adam Mickiewicz University, Poznan, Poland"],"affiliations":[{"raw_affiliation_string":"Adam Mickiewicz University,Poznan,Poland","institution_ids":["https://openalex.org/I59411706"]},{"raw_affiliation_string":"Adam Mickiewicz University, Poznan, Poland","institution_ids":["https://openalex.org/I59411706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011946737","display_name":"Anna Wilbik","orcid":"https://orcid.org/0000-0002-1989-0301"},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Anna Wilbik","raw_affiliation_strings":["Maastricht University,Maastricht,The Netherlands","Maastricht University, Maastricht, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Maastricht University,Maastricht,The Netherlands","institution_ids":["https://openalex.org/I34352273"]},{"raw_affiliation_string":"Maastricht University, Maastricht, The Netherlands","institution_ids":["https://openalex.org/I34352273"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024660370"],"corresponding_institution_ids":["https://openalex.org/I4210109085"],"apc_list":null,"apc_paid":null,"fwci":0.5392,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72891465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9952999949455261,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.993399977684021,"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":0.7516529560089111},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5920800566673279},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41072767972946167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.379023015499115},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35233432054519653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516529560089111},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5920800566673279},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41072767972946167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.379023015499115},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35233432054519653},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/fuzz52849.2023.10309757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz52849.2023.10309757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Fuzzy Systems (FUZZ)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire/5e4018b5-1173-4e18-8500-6285d28bdda7","is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/5e4018b5-1173-4e18-8500-6285d28bdda7","pdf_url":"https://cris.maastrichtuniversity.nl/ws/files/176083759/Wilbik-2023-Federated-similarity-based-learning.pdf","source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pekala, B, Szkola, J, Dyczkowski, K & Wilbik, A 2023, Federated Similarity-Based Learning with Incomplete Data. in 2023 IEEE International Conference on Fuzzy Systems (FUZZ)., 10309757, The IEEE, pp. 1-6, 2023 IEEE International Conference on Fuzzy Systems (FUZZ), Songdo Incheon, Korea, Republic of, 13/08/23. https://doi.org/10.1109/FUZZ52849.2023.10309757","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:cris.maastrichtuniversity.nl:publications/5e4018b5-1173-4e18-8500-6285d28bdda7","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10309757","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pekala, B, Szkola, J, Dyczkowski, K & Wilbik, A 2023, Federated Similarity-Based Learning with Incomplete Data. in 2023 IEEE International Conference on Fuzzy Systems (FUZZ)., 10309757, The IEEE, pp. 1-6, 2023 IEEE International Conference on Fuzzy Systems (FUZZ), Songdo Incheon, Korea, Republic of, 13/08/23. https://doi.org/10.1109/FUZZ52849.2023.10309757","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire/5e4018b5-1173-4e18-8500-6285d28bdda7","is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/5e4018b5-1173-4e18-8500-6285d28bdda7","pdf_url":"https://cris.maastrichtuniversity.nl/ws/files/176083759/Wilbik-2023-Federated-similarity-based-learning.pdf","source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pekala, B, Szkola, J, Dyczkowski, K & Wilbik, A 2023, Federated Similarity-Based Learning with Incomplete Data. in 2023 IEEE International Conference on Fuzzy Systems (FUZZ)., 10309757, The IEEE, pp. 1-6, 2023 IEEE International Conference on Fuzzy Systems (FUZZ), Songdo Incheon, Korea, Republic of, 13/08/23. https://doi.org/10.1109/FUZZ52849.2023.10309757","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388521880.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W34149653","https://openalex.org/W1580809199","https://openalex.org/W1997049352","https://openalex.org/W2296349740","https://openalex.org/W2530417694","https://openalex.org/W2614473624","https://openalex.org/W2619675819","https://openalex.org/W2811187947","https://openalex.org/W2900120080","https://openalex.org/W2912213068","https://openalex.org/W2929708549","https://openalex.org/W2962804345","https://openalex.org/W3001299093","https://openalex.org/W3005658176","https://openalex.org/W3021654819","https://openalex.org/W3092749669","https://openalex.org/W3163919248","https://openalex.org/W3177095755","https://openalex.org/W3192272773","https://openalex.org/W4206320562","https://openalex.org/W4211007335","https://openalex.org/W4245152641","https://openalex.org/W4295767393","https://openalex.org/W4297687186","https://openalex.org/W4318619660","https://openalex.org/W4387813810","https://openalex.org/W6728057340","https://openalex.org/W6728757088","https://openalex.org/W6729007826","https://openalex.org/W6747762772","https://openalex.org/W6753583435","https://openalex.org/W6808836427"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,16,49],"the":[1,9,63,93,139,145],"analysis":[2],"of":[3,11,41,65,99,114,144,166],"social,":[4],"medical,":[5],"and":[6,117,132,163,171],"business":[7],"issues,":[8],"problem":[10],"incomplete":[12],"data":[13,28,56,130,140,152,160],"often":[14],"arises.":[15],"addition,":[17],"in":[18,96],"situations":[19],"where":[20],"privacy":[21,133],"policy":[22],"makes":[23],"it":[24,34],"difficult":[25],"to":[26,37,45,77,125],"share":[27],"with":[29,80,83],"organizations":[30],"conducting":[31],"related":[32],"activities,":[33],"is":[35,122,148],"necessary":[36],"exchange":[38],"knowledge":[39],"instead":[40],"data,":[42,82,100],"that":[43,89],"is,":[44],"use":[46],"federated":[47,110],"learning.":[48],"this":[50,106],"scenario":[51],"there":[52],"are":[53,60,169],"several":[54],"private":[55],"clients,":[57],"whose":[58],"models":[59,76],"improved":[61],"through":[62],"aggregation":[64],"model":[66,112],"components.":[67],"Here,":[68],"we":[69],"propose":[70],"a":[71,109,123],"methodology":[72],"for":[73,158],"training":[74,135],"local":[75],"deal":[78],"well":[79],"missing":[81,118],"an":[84],"algorithm":[85],"using":[86,150],"similarity":[87],"measures":[88,165],"take":[90],"into":[91],"account":[92],"uncertainty":[94],"present":[95],"many":[97],"types":[98],"such":[101],"as":[102],"medical":[103,151],"data.":[104,119],"Therefore,":[105],"paper":[107],"describes":[108],"learning":[111,121],"capable":[113],"processing":[115],"imprecise":[116],"Federated":[120],"technique":[124],"overcome":[126],"limitations":[127],"resulting":[128],"from":[129],"governance":[131],"by":[134],"algorithms":[136],"without":[137],"exchanging":[138],"itself.":[141],"The":[142],"performance":[143],"proposed":[146],"method":[147],"demonstrated":[149],"on":[153],"breast":[154],"cancer":[155],"cases.":[156],"Results":[157],"different":[159],"loss":[161],"scenarios":[162],"corresponding":[164],"classification":[167],"quality":[168],"presented":[170],"discussed.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}