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Federated Learning for Privacy-aware Cognitive Workload Est..:

, In: Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia,

Fenoglio, Dario ; Josifovski, Daniel ; Gobbetti, Alessandro... - p. 25-36 , 2023

Link: https://dl.acm.org/doi/10.1145/3626705.3627783

RT 
T1 <cTitle>Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia</cTitle>: T1 <Title>Federated Learning for Privacy-aware Cognitive Workload Estimation</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3627783&Exemplar=1&LAN=DE
				
A1 Fenoglio, Dario
A1 Josifovski, Daniel
A1 Gobbetti, Alessandro
A1 Formo, Mattias
A1 Gjoreski, Hristijan
A1 Gjoreski, Martin
A1 Langheinrich, Marc
PB ACM
YR 2023
K1 Cognitive Workload Estimation
K1 Data Privacy
K1 Federated Learning
K1 Machine Learning.
K1 Human-centered computing
K1 Ubiquitous and mobile computing
K1 Ubiquitous and mobile computing systems and tools
K1 Security and privacy
K1 Systems security
K1 Distributed systems security
K1 Information systems
K1 Information systems applications
K1 Decision support systems
K1 Computer systems organization
K1 Architectures
K1 Distributed architectures
K1 Client-server architectures
K1 Applied computing
K1 Life and medical sciences
K1 Health care information systems
SP 25
OP 36
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3626705.3627783
DO https://dl.acm.org/doi/10.1145/3626705.3627783
SF ELIB - SuUB Bremen

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