Distributed and Federated Learning. 3 credits

Catalog description

As compute resources inside of end devices, such as mobile phones, are becoming increasingly powerful, deep learning is moving from centralized data centers to clouds and end devices. Emerging techniques such as centralized distributed learning and emerging decentralized federated learning open up brand new computing paradigms to artificial intelligence. This course is designed to focus on distributed and federated learning techniques with an expected research-oriented depth and sufficient implementation practice. The course lectures cover cutting-edge algorithms and system implementations. They are enhanced with a comprehensive literature review and a group-based, semester-long project. Offered by Electrical & Comp. Engineering . May not be repeated for credit.