{"id":"https://openalex.org/W7042646860","doi":null,"title":"Problems of Privacy and Heterogeneity for Federated Learning Applications in Medical Image Analysis","display_name":"Problems of Privacy and Heterogeneity for Federated Learning Applications in Medical Image Analysis","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7042646860"},"language":"en","primary_location":{"id":"pmh:oai:libeldoc.bsuir.by:123456789/55575","doi":null,"is_oa":true,"landing_page_url":"https://libeldoc.bsuir.by/handle/123456789/55575","pdf_url":"https://libeldoc.bsuir.by/bitstream/123456789/55575/1/Himbitski_Problems.pdf","source":{"id":"https://openalex.org/S4406923062","display_name":"\u0420\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u0439 \u0411\u0413\u0423\u0418\u0420 (BSUIR Repository)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://libeldoc.bsuir.by/bitstream/123456789/55575/1/Himbitski_Problems.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Himbitski, A.","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I291386647","display_name":"Belarusian State University","ror":"https://ror.org/021036w13","country_code":"BY","type":"education","lineage":["https://openalex.org/I291386647"]}],"countries":["BY"],"is_corresponding":false,"raw_author_name":"Himbitski, A.","raw_affiliation_strings":["Belarusian State University Minsk , Belarus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Belarusian State University Minsk , Belarus","institution_ids":["https://openalex.org/I291386647"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zelenkovsky, V.","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I291386647","display_name":"Belarusian State University","ror":"https://ror.org/021036w13","country_code":"BY","type":"education","lineage":["https://openalex.org/I291386647"]}],"countries":["BY"],"is_corresponding":false,"raw_author_name":"Zelenkovsky, V.","raw_affiliation_strings":["Belarusian State University Minsk , Belarus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Belarusian State University Minsk , Belarus","institution_ids":["https://openalex.org/I291386647"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhydovich, M.","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I291386647","display_name":"Belarusian State University","ror":"https://ror.org/021036w13","country_code":"BY","type":"education","lineage":["https://openalex.org/I291386647"]}],"countries":["BY"],"is_corresponding":false,"raw_author_name":"Zhydovich, M.","raw_affiliation_strings":["Belarusian State University Minsk , Belarus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Belarusian State University Minsk , Belarus","institution_ids":["https://openalex.org/I291386647"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kovalev, V.","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I151823869","display_name":"National Academy of Sciences of Belarus","ror":"https://ror.org/02j8pe645","country_code":"BY","type":"government","lineage":["https://openalex.org/I151823869"]},{"id":"https://openalex.org/I4210105192","display_name":"United Institute of Informatics Problems","ror":"https://ror.org/01ccbsb07","country_code":"BY","type":"facility","lineage":["https://openalex.org/I151823869","https://openalex.org/I4210105192","https://openalex.org/I4210116091"]}],"countries":["BY"],"is_corresponding":false,"raw_author_name":"Kovalev, V.","raw_affiliation_strings":["The United Institute of Informatics Problems of the National Academy of Sciences of Belarus biomedical image analysis laboratory Minsk , Belarus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The United Institute of Informatics Problems of the National Academy of Sciences of Belarus biomedical image analysis laboratory Minsk , Belarus","institution_ids":["https://openalex.org/I151823869","https://openalex.org/I4210105192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0,"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/federated-learning","display_name":"federated learning","score":0.9890000224113464},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"privacy preservation","score":0.8949999809265137},{"id":"https://openalex.org/keywords/medical-image-analysis","display_name":"medical image analysis","score":0.843999981880188},{"id":"https://openalex.org/keywords/model-aggregation","display_name":"model aggregation","score":0.7260000109672546},{"id":"https://openalex.org/keywords/heterogeneity","display_name":"heterogeneity","score":0.6650000214576721},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.6949999928474426},{"id":"https://openalex.org/keywords/patient-data-confidentiality","display_name":"patient data confidentiality","score":0.6669999957084656},{"id":"https://openalex.org/keywords/health-data","display_name":"health data","score":0.503000020980835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7975999712944031},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5597000122070312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5120000243186951},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49230000376701355},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4900999963283539},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4887000024318695},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4758000075817108},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.41819998621940613},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3871999979019165},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C3019150057","wikidata":"https://www.wikidata.org/wiki/Q92779279","display_name":"Medical information","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31929999589920044},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.28130000829696655},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.27309998869895935},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:libeldoc.bsuir.by:123456789/55575","doi":null,"is_oa":true,"landing_page_url":"https://libeldoc.bsuir.by/handle/123456789/55575","pdf_url":"https://libeldoc.bsuir.by/bitstream/123456789/55575/1/Himbitski_Problems.pdf","source":{"id":"https://openalex.org/S4406923062","display_name":"\u0420\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u0439 \u0411\u0413\u0423\u0418\u0420 (BSUIR Repository)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:libeldoc.bsuir.by:123456789/55575","doi":null,"is_oa":true,"landing_page_url":"https://libeldoc.bsuir.by/handle/123456789/55575","pdf_url":"https://libeldoc.bsuir.by/bitstream/123456789/55575/1/Himbitski_Problems.pdf","source":{"id":"https://openalex.org/S4406923062","display_name":"\u0420\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u0439 \u0411\u0413\u0423\u0418\u0420 (BSUIR Repository)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324573","display_name":"National Academy of Sciences of Belarus","ror":"https://ror.org/02j8pe645"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7042646860.pdf","grobid_xml":"https://content.openalex.org/works/W7042646860.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W2900120080","https://openalex.org/W2995022099","https://openalex.org/W3021676282"],"related_works":["https://openalex.org/W7084105472","https://openalex.org/W7063961782","https://openalex.org/W7161556012","https://openalex.org/W4414946870","https://openalex.org/W4321796432","https://openalex.org/W4383047473","https://openalex.org/W7159969195","https://openalex.org/W7133334019","https://openalex.org/W4226082367","https://openalex.org/W4366988824"],"abstract_inverted_index":{"Recently,":[0],"machine":[1,148],"learning":[2,149,160],"has":[3],"become":[4],"one":[5],"of":[6,32,44,62,84,155],"\\nthe":[7],"most":[8,22],"promising":[9],"directions":[10],"in":[11,41,107],"working":[12],"with":[13,79],"medical":[14,45,85,156],"data.":[15],"\\nDeep":[16],"neural":[17,64],"network":[18],"models":[19,66,105,150],"are":[20],"the":[21,42,60,69,81,108,134,153],"eff":[23],"ective":[24],"and":[25,143],"\\naccurate,":[26],"but":[27],"they":[28],"require":[29],"large":[30],"volumes":[31],"information":[33,98,120],"for":[34,146],"\\ntraining.":[35],"This":[36],"is":[37,72,92],"a":[38,76,100,118,122],"common":[39],"problem":[40,77,135],"case":[43],"\\ndata,":[46],"especially":[47],"images,":[48,157],"as":[49],"their":[50],"creation":[51],"involves":[52],"signifi":[53],"cant":[54],"\\ncosts.":[55],"\\nOne":[56],"solution":[57],"to":[58,114,132,141],"improve":[59],"quality":[61],"deep":[63],"\\nnetwork":[65],"without":[67],"increasing":[68],"training":[70],"dataset":[71],"\\nmodel":[73],"aggregation.":[74],"However,":[75],"arises":[78],"preserving":[80,152],"confi":[82],"dentiality":[83],"images.":[86],"For":[87],"example,":[88],"if":[89],"\\none":[90],"model":[91],"trained":[93],"on":[94],"an":[95,130],"image":[96],"containing":[97],"\\nabout":[99],"specifi":[101,123],"c":[102,124],"patient,":[103],"other":[104],"participating":[106],"\\naggregation":[109],"may":[110,126],"also":[111],"gain":[112],"access":[113],"this":[115],"information.":[116],"As":[117],"\\nresult,":[119],"about":[121],"patient":[125],"be":[127],"disclosed.":[128],"\\nIn":[129],"attempt":[131],"address":[133],"described":[136],"above,":[137],"\\nthis":[138],"work":[139],"aims":[140],"research":[142],"develop":[144],"methods":[145],"\\naggregating":[147],"while":[151],"\\nprivacy":[154],"particularly":[158],"federated":[159],"\\nmethods":[161]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}
