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1
FeReD: Federated Reinforcement Learning in the DBMS:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Tzamaras, Sotirios
;
Ciucanu, Radu
;
Soare, Marta
. - p. 4989-4993 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557203
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>FeReD: Federated Reinforcement Learning in the DBMS</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557203&Exemplar=1&LAN=DE A1 Tzamaras, Sotirios A1 Ciucanu, Radu A1 Soare, Marta A1 Amer-Yahia, Sihem PB ACM YR 2022 K1 federated learning K1 in-dbms reinforcement learning K1 sqlite K1 Information systems K1 Data management systems K1 Information integration K1 Federated databases K1 Theory of computation K1 Theory and algorithms for application domains K1 Database theory K1 Database query languages (principles) K1 Machine learning theory K1 Reinforcement learning SP 4989 OP 4993 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557203 DO https://dl.acm.org/doi/10.1145/3511808.3557203 SF ELIB - SuUB Bremen
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