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1 Ergebnisse
1
FedTR: Federated Learning Framework with Transfer Learning ..:
, In:
Proceedings of the Great Lakes Symposium on VLSI 2024
,
Sathiamoorthy, Vikash
;
Huai, Shuo
;
Kong, Hao
... - p. 310-314 , 2024
Link:
https://dl.acm.org/doi/10.1145/3649476.3658768
RT T1 <cTitle>Proceedings of the Great Lakes Symposium on VLSI 2024</cTitle>: T1 <Title>FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3658768&Exemplar=1&LAN=DE A1 Sathiamoorthy, Vikash A1 Huai, Shuo A1 Kong, Hao A1 Liu, Di A1 Loy, Wendy Yong Yi A1 Makaya, Christian A1 Ho, Daren A1 Subramaniam, Ravi A1 Lin, Qian A1 Liu, Weichen PB ACM YR 2024 K1 Federated Learning K1 Industrial Visual Inspection K1 Transfer Learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Artificial intelligence K1 Control methods SP 310 OP 314 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3649476.3658768 DO https://dl.acm.org/doi/10.1145/3649476.3658768 SF ELIB - SuUB Bremen
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