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1 Ergebnisse
1
TEA-fed : time-efficient asynchronous federated learning..:
, In:
Proceedings of the 18th ACM International Conference on Computing Frontiers
,
Zhou, Chendi
;
Tian, Hao
;
Zhang, Hong
... - p. 30-37 , 2021
Link:
https://dl.acm.org/doi/10.1145/3457388.3458655
RT T1 <cTitle>Proceedings of the 18th ACM International Conference on Computing Frontiers</cTitle>: T1 <Title>TEA-fed : time-efficient asynchronous federated learning for edge computing</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3458655&Exemplar=1&LAN=DE A1 Zhou, Chendi A1 Tian, Hao A1 Zhang, Hong A1 Zhang, Jin A1 Dong, Mianxiong A1 Jia, Juncheng PB ACM YR 2021 K1 edge computing K1 federated learning K1 machine learning K1 time efficiency K1 Computing methodologies K1 Machine learning K1 Computer systems organization K1 Architectures K1 Distributed architectures K1 Artificial intelligence K1 Distributed artificial intelligence K1 Cooperation and coordination SP 30 OP 37 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3457388.3458655 DO https://dl.acm.org/doi/10.1145/3457388.3458655 SF ELIB - SuUB Bremen
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