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1 Ergebnisse
1
SEM: A Simple Yet Efficient Model-agnostic Local Training M..:
, In:
2023 Eleventh International Symposium on Computing and Networking (CANDAR)
,
Pham, Quang Ha
;
Nguyen, Nang Hung
;
Nguyen, Thanh Hung
... - p. 120-126 , 2023
Link:
https://doi.org/10.1109/CANDAR60563.2023.00023
RT T1 <cTitle>2023 Eleventh International Symposium on Computing and Networking (CANDAR)</cTitle>: T1 <Title>SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10406172&Exemplar=1&LAN=DE A1 Pham, Quang Ha A1 Nguyen, Nang Hung A1 Nguyen, Thanh Hung A1 Pham, Huy Hieu A1 Nguyen, Phi Le A1 Nguyen, Truong Thao YR 2023 SN 2379-1896 K1 Training K1 Federated learning K1 Computational modeling K1 Transfer learning K1 Data models K1 Servers K1 Federated Learning K1 Data sparsity K1 Data scarcity K1 Transfer Learning K1 Model-agnostic Methods SP 120 OP 126 LK http://dx.doi.org/https://doi.org/10.1109/CANDAR60563.2023.00023 DO https://doi.org/10.1109/CANDAR60563.2023.00023 SF ELIB - SuUB Bremen
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