Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows

Wiebke Toussaint, Aaron Yi Ding, Fahim Kawsar +1

Billions of distributed, heterogeneous and resource constrained IoT devices deploy on-device machine learning (ML) for private, fast and offline inference on personal data. On-devi…