Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture

no code implementations • 14 Nov 2021 • Jimiama M. Mase, Natalie Leesakul, Fan Yang, Grazziela P. Figueredo, Mercedes Torres Torres

Possible solutions to protect the privacy of users and avoid misuse of their identities are to: (1) extract anonymised facial features, namely action units (AU) from a database of images, discard the images and use AUs for processing and training, and (2) federated learning (FL) i. e. process raw images in users' local machines (local processing) and send the locally trained models to the main processing machine for aggregation (central processing).

Federated Learning Privacy Preserving +1