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dc.contributor.authorFenoglio, Darioen_US
dc.contributor.authorJosifovski, Danielen_US
dc.contributor.authorGobbetti, Alessandroen_US
dc.contributor.authorFormo, Mattiasen_US
dc.contributor.authorGjoreski, Hristijanen_US
dc.contributor.authorGjoreski, Martinen_US
dc.contributor.authorLangheinrich, Marcen_US
dc.date.accessioned2024-10-08T13:20:10Z-
dc.date.available2024-10-08T13:20:10Z-
dc.date.issued2023-12-03-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/31551-
dc.publisherACMen_US
dc.titleFederated Learning for Privacy-aware Cognitive Workload Estimationen_US
dc.relation.conferenceProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimediaen_US
dc.identifier.doi10.1145/3626705.3627783-
dc.identifier.urlhttps://dl.acm.org/doi/pdf/10.1145/3626705.3627783-
dc.identifier.volume33-
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Conference Papers
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