Efficient Learning on Resource-Constrained Embedded Systems
The continual collection of user data by Internet-of-Things devices to train machine learning models in the cloud raises concerns about user privacy. Shifting the training phase from the cloud to IoT end- nodes could eliminate these concerns and allow model updates even in the presence of wireless communication constraints. However,…