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1
Federated Learning for Unsupervised Anomaly Detection in AD..:
, In:
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
,
Shahid, Zahraa
;
Saguna, Saguna
;
Ahlund, Christer
. - p. 533-535 , 2024
Link:
https://dl.acm.org/doi/10.1145/3605098.3636163
RT T1
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
: T1
Federated Learning for Unsupervised Anomaly Detection in ADLs of Elderly in Single-resident Smart Homes
UL https://suche.suub.uni-bremen.de/peid=acm-3636163&Exemplar=1&LAN=DE A1 Shahid, Zahraa A1 Saguna, Saguna A1 Ahlund, Christer A1 Mitra, Karan PB ACM YR 2024 K1 unsupervised anomaly detection K1 internet of things K1 HAR K1 federated learning K1 Applied computing K1 Life and medical sciences K1 Health informatics K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Anomaly detection SP 533 OP 535 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3605098.3636163 DO https://dl.acm.org/doi/10.1145/3605098.3636163 SF ELIB - SuUB Bremen
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