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1
Using Federated Learning and Channel State Information-Base..:
, In:
Proceedings of the 2024 European Interdisciplinary Cybersecurity Conference
,
Klein Brinke, Jeroen
;
van der Linden, Martijn
;
Havinga, Paul
- p. 186-193 , 2024
Link:
https://dl.acm.org/doi/10.1145/3655693.3660254
RT T1 <cTitle>Proceedings of the 2024 European Interdisciplinary Cybersecurity Conference</cTitle>: T1 <Title>Using Federated Learning and Channel State Information-Based Sensing for Scalable and Realistic At-Home Healthcare</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3660254&Exemplar=1&LAN=DE A1 Klein Brinke, Jeroen A1 van der Linden, Martijn A1 Havinga, Paul PB ACM YR 2024 K1 channel state information K1 data scalability K1 data stability K1 federated learning K1 human activity recognition K1 realistic scenarios K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Sensor networks K1 Human-centered computing K1 Ubiquitous and mobile computing K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Multi-task learning K1 Transfer learning SP 186 OP 193 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3655693.3660254 DO https://dl.acm.org/doi/10.1145/3655693.3660254 SF ELIB - SuUB Bremen
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