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1 Ergebnisse
1
Federated Learning for Sleep Stage Classification on Edge D..:
, In:
2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
,
Moon, SungHwan
;
Kim, Tae Seong
;
Ryu, Jihye
. - p. 188-192 , 2023
Link:
https://doi.org/10.1109/ICCE-Berlin58801.2023.10375664
RT T1 <cTitle>2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)</cTitle>: T1 <Title>Federated Learning for Sleep Stage Classification on Edge Devices via a Model-Agnostic Meta-Learning-Based Pre-Trained Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10375664&Exemplar=1&LAN=DE A1 Moon, SungHwan A1 Kim, Tae Seong A1 Ryu, Jihye A1 Lee, Won Hee YR 2023 SN 2166-6822 K1 Training K1 Performance evaluation K1 Metalearning K1 Federated learning K1 Computational modeling K1 Wearable computers K1 Distributed databases K1 Edge device K1 Meta learning K1 Sleep stage classification SP 188 OP 192 LK http://dx.doi.org/https://doi.org/10.1109/ICCE-Berlin58801.2023.10375664 DO https://doi.org/10.1109/ICCE-Berlin58801.2023.10375664 SF ELIB - SuUB Bremen
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