Addressing Gap between Training Data and Deployed Environment by On-Device Learning

Kazuki Sunaga, Masaaki Kondo, Hiroki Matsutani

The accuracy of tinyML applications is often affected by various environmental factors, such as noises, location/calibration of sensors, and time-related changes. This article intr…