Application of Federated Learning on Wearable Data (INF491 or INF492)

FL is a new methodology providing privacy in learning by sharing only model parameters rather than the data directly with the server. In this project, we aim to apply well-known FL techniques to wearable data collected from university students and workers and compare them with traditional ML techniques. The dataset includes activity, sleep, and stress-related information.