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1 Ergebnisse
1
FedCCE: A class-level contribution explainable federated le..:
, In:
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Lin, Bo
;
Wang, Jing
;
Dou, Yunfei
... - p. 2085-2090 , 2023
Link:
https://doi.org/10.1109/BIBM58861.2023.10385560
RT T1 <cTitle>2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>FedCCE: A class-level contribution explainable federated learning based on comparable prototypes collaboration for multi-site medical image classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10385560&Exemplar=1&LAN=DE A1 Lin, Bo A1 Wang, Jing A1 Dou, Yunfei A1 Zhang, Yuquan A1 Yue, Wei A1 Yu, Gang A1 Yin, Jianwei YR 2023 SN 2156-1133 K1 Training K1 Federated learning K1 Prototypes K1 Collaboration K1 Data models K1 Indexes K1 Stakeholders K1 Non-IID K1 personalized federated learning K1 contribution K1 classification SP 2085 OP 2090 LK http://dx.doi.org/https://doi.org/10.1109/BIBM58861.2023.10385560 DO https://doi.org/10.1109/BIBM58861.2023.10385560 SF ELIB - SuUB Bremen
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