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1 Ergebnisse
1
Policy Compression for Low-Power Intelligent Scaling in Sof..:
, In:
NOMS 2024-2024 IEEE Network Operations and Management Symposium
,
Ave, Thomas
;
Soto, Paola
;
Camelo, Miguel
.. - p. 1-7 , 2024
Link:
https://doi.org/10.1109/NOMS59830.2024.10575377
RT T1 <cTitle>NOMS 2024-2024 IEEE Network Operations and Management Symposium</cTitle>: T1 <Title>Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10575377&Exemplar=1&LAN=DE A1 Ave, Thomas A1 Soto, Paola A1 Camelo, Miguel A1 De Schepper, Tom A1 Mets, Kevin YR 2024 SN 2374-9709 K1 Training K1 Adaptation models K1 Runtime K1 Computational modeling K1 Scalability K1 Memory management K1 Network architecture SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/NOMS59830.2024.10575377 DO https://doi.org/10.1109/NOMS59830.2024.10575377 SF ELIB - SuUB Bremen
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