Published on in Vol 11 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/60003, first published
.
Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy–Added Federated Learning Settings: Quantitative Study
Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy–Added Federated Learning Settings: Quantitative Study
1 Faculty of Applied Computer Science, Augsburg University, Augsburg, Germany