Lunch seminar: Privacy-aware machine learning method: Federated Learning
Presenter: Hongyi Zhang, PhD student, Chalmers Federated Learning is an improved Machine Learning approach which enables edge devices to collaboratively learn a shared machine learning model. The data exchanged between the edge and central server are no longer user data but the updated model weights. Furthermore, as this model training method is distributed, there are chances to make the model become smarter and adapt to their environment. (For example, devices