{"id":"https://openalex.org/W4387490572","doi":"https://doi.org/10.1109/tmi.2023.3323540","title":"Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images","display_name":"Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4387490572","doi":"https://doi.org/10.1109/tmi.2023.3323540","pmid":"https://pubmed.ncbi.nlm.nih.gov/37815963"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2023.3323540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3323540","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100710893","display_name":"Yuanming Zhang","orcid":"https://orcid.org/0009-0002-3630-0171"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanming Zhang","raw_affiliation_strings":["Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0002-3630-0171","affiliations":[{"raw_affiliation_string":"Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654562","display_name":"Zheng Li","orcid":"https://orcid.org/0000-0003-4652-0880"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Li","raw_affiliation_strings":["Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4652-0880","affiliations":[{"raw_affiliation_string":"Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078405101","display_name":"Xiangmin Han","orcid":"https://orcid.org/0000-0002-6789-0568"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangmin Han","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6789-0568","affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021106240","display_name":"Saisai Ding","orcid":"https://orcid.org/0000-0002-4324-7316"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Saisai Ding","raw_affiliation_strings":["Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4324-7316","affiliations":[{"raw_affiliation_string":"Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648014","display_name":"Juncheng Li","orcid":"https://orcid.org/0000-0001-7314-6754"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juncheng Li","raw_affiliation_strings":["Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7314-6754","affiliations":[{"raw_affiliation_string":"Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712167","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0001-9548-0411"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9548-0411","affiliations":[{"raw_affiliation_string":"Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063863772","display_name":"Shihui Ying","orcid":"https://orcid.org/0000-0001-9423-0146"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihui Ying","raw_affiliation_strings":["Department of Mathematics, School of Science, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9423-0146","affiliations":[{"raw_affiliation_string":"Department of Mathematics, School of Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032832318","display_name":"Jun Shi","orcid":"https://orcid.org/0000-0002-3226-3978"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Shi","raw_affiliation_strings":["Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3226-3978","affiliations":[{"raw_affiliation_string":"Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.079,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.95127094,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"43","issue":"3","first_page":"902","last_page":"915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"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/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9861999750137329,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.785619854927063},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.7307924032211304},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7251973152160645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6878612041473389},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5046237707138062},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4762430489063263},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.45681843161582947},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41902562975883484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3345741629600525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10735282301902771}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785619854927063},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.7307924032211304},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7251973152160645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6878612041473389},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5046237707138062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4762430489063263},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.45681843161582947},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41902562975883484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3345741629600525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10735282301902771},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2023.3323540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3323540","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:37815963","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37815963","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1930164579","display_name":null,"funder_award_id":"D20031","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G4252906683","display_name":null,"funder_award_id":"81830058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6835766493","display_name":"\u5927\u8111\u5f71\u50cf\u667a\u80fd\u5206\u6790\u7684\u5c0f\u6837\u672c\u5b66\u4e60\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"11971296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W2103243046","https://openalex.org/W2151608510","https://openalex.org/W2194775991","https://openalex.org/W2774064151","https://openalex.org/W2792902314","https://openalex.org/W2793678581","https://openalex.org/W2794022343","https://openalex.org/W2801370692","https://openalex.org/W2885824038","https://openalex.org/W2904494117","https://openalex.org/W2912213068","https://openalex.org/W2914568698","https://openalex.org/W2962770929","https://openalex.org/W2962793691","https://openalex.org/W2962804068","https://openalex.org/W2963420272","https://openalex.org/W2963882942","https://openalex.org/W2964317695","https://openalex.org/W2964744899","https://openalex.org/W2972570881","https://openalex.org/W2973369396","https://openalex.org/W2979364510","https://openalex.org/W3003416411","https://openalex.org/W3023371261","https://openalex.org/W3035231706","https://openalex.org/W3035524453","https://openalex.org/W3035574324","https://openalex.org/W3035725276","https://openalex.org/W3037914312","https://openalex.org/W3040685212","https://openalex.org/W3045674654","https://openalex.org/W3046154346","https://openalex.org/W3081006173","https://openalex.org/W3089090082","https://openalex.org/W3091267000","https://openalex.org/W3093130481","https://openalex.org/W3104041126","https://openalex.org/W3113328935","https://openalex.org/W3126765304","https://openalex.org/W3128210037","https://openalex.org/W3135547872","https://openalex.org/W3141797743","https://openalex.org/W3152841279","https://openalex.org/W3154677174","https://openalex.org/W3167262308","https://openalex.org/W3182158470","https://openalex.org/W3186679119","https://openalex.org/W3201783410","https://openalex.org/W3206162503","https://openalex.org/W3212889265","https://openalex.org/W3216762716","https://openalex.org/W3217532475","https://openalex.org/W3217644914","https://openalex.org/W4213449432","https://openalex.org/W4226116653","https://openalex.org/W4226461837","https://openalex.org/W4283796083","https://openalex.org/W4308637617","https://openalex.org/W4313270767","https://openalex.org/W6728757088","https://openalex.org/W6759238902","https://openalex.org/W6765779288","https://openalex.org/W6772307254","https://openalex.org/W6773817997","https://openalex.org/W6781318954","https://openalex.org/W6789305514","https://openalex.org/W6791742336","https://openalex.org/W6792107352","https://openalex.org/W6793409432","https://openalex.org/W6809974011","https://openalex.org/W6839353041","https://openalex.org/W6845997457"],"related_works":["https://openalex.org/W2334610590","https://openalex.org/W2320366403","https://openalex.org/W3204197061","https://openalex.org/W4251350712","https://openalex.org/W637098845","https://openalex.org/W2410116073","https://openalex.org/W3044972437","https://openalex.org/W3162204513","https://openalex.org/W4287707480","https://openalex.org/W2275866607"],"abstract_inverted_index":{"Computer-aided":[0],"diagnosis":[1],"(CAD)":[2],"can":[3],"help":[4],"pathologists":[5],"improve":[6,61,158],"diagnostic":[7,64,204],"accuracy":[8,65,205],"together":[9],"with":[10,21],"consistency":[11],"and":[12,66,85,137,206],"repeatability":[13],"for":[14,113,162],"cancers.":[15],"However,":[16],"the":[17,22,34,39,63,72,90,100,110,119,134,143,159,163,176,179,183,196,199],"CAD":[18,69,164],"models":[19,165],"trained":[20],"histopathological":[23,74,192],"images":[24,75,92,105],"only":[25],"from":[26,33,78],"a":[27,50,147],"single":[28],"center":[29,168],"(hospital)":[30],"generally":[31],"suffer":[32],"generalization":[35,67],"problem":[36],"due":[37],"to":[38,60,89,117,130,142,157],"straining":[40],"inconsistencies":[41],"among":[42],"different":[43],"centers.":[44],"In":[45],"this":[46,94],"work,":[47],"we":[48],"propose":[49],"pseudo-data":[51],"based":[52,151],"self-supervised":[53,114],"federated":[54],"learning":[55,115],"(FL)":[56],"framework,":[57],"named":[58],"SSL-FT-BT,":[59],"both":[62,83,133,203],"of":[68,121,178,198],"models.":[70],"Specifically,":[71],"pseudo":[73,104],"are":[76,106],"generated":[77],"each":[79,167],"center,":[80,95],"which":[81,174],"contain":[82],"inherent":[84,139],"specific":[86],"properties":[87],"corresponding":[88],"real":[91],"in":[93,109,166,182],"but":[96],"do":[97],"not":[98],"include":[99],"privacy":[101],"information.":[102],"These":[103],"then":[107,128],"shared":[108],"central":[111],"server":[112],"(SSL)":[116],"pre-train":[118],"backbone":[120],"global":[122,180],"mode.":[123],"A":[124],"multi-task":[125],"SSL":[126],"is":[127,155],"designed":[129],"effectively":[131],"learn":[132],"center-specific":[135],"information":[136],"common":[138],"representation":[140],"according":[141],"data":[144],"characteristics.":[145],"Moreover,":[146],"novel":[148],"Barlow":[149],"Twins":[150],"FL":[152,184],"(FL-BT)":[153],"algorithm":[154],"proposed":[156,200],"local":[160],"training":[161],"by":[169],"conducting":[170],"model":[171,181],"contrastive":[172],"learning,":[173],"benefits":[175],"optimization":[177],"procedure.":[185],"The":[186],"experimental":[187],"results":[188],"on":[189,202],"four":[190],"public":[191],"image":[193],"datasets":[194],"indicate":[195],"effectiveness":[197],"SSL-FL-BT":[201],"generalization.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}