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1 Ergebnisse
1
Federated Bandit: A Gossiping Approach:
, In:
Abstract Proceedings of the 2021 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems
,
Zhu, Zhaowei
;
Zhu, Jingxuan
;
Liu, Ji
. - p. 3-4 , 2021
Link:
https://dl.acm.org/doi/10.1145/3410220.3453919
RT T1
Abstract Proceedings of the 2021 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems
: T1
Federated Bandit: A Gossiping Approach
UL https://suche.suub.uni-bremen.de/peid=acm-3453919&Exemplar=1&LAN=DE A1 Zhu, Zhaowei A1 Zhu, Jingxuan A1 Liu, Ji A1 Liu, Yang PB ACM YR 2021 K1 decentralized multi-armed bandit K1 differential privacy K1 federated learning K1 heterogeneous rewards K1 Security and privacy K1 Human and societal aspects of security and privacy K1 Privacy protections K1 Networks K1 Network performance evaluation K1 Network performance analysis K1 Theory of computation K1 Design and analysis of algorithms K1 Distributed algorithms K1 Computing methodologies K1 Machine learning K1 Learning settings K1 Learning from implicit feedback SP 3 OP 4 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3410220.3453919 DO https://dl.acm.org/doi/10.1145/3410220.3453919 SF ELIB - SuUB Bremen
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