Communication and Networking Foundations

ML/AI and wireless communications are two of the most rapidly advancing technologies of our time, and in recent years these two fields have begun to merge. This merger has two facets: ML and AI methods are increasingly viewed as means for optimizing and adapting mobile networks; and mobile networks are viewed as platforms for ML, as data is increasingly born at the edges of wireless networks and computing is also migrating to the wireless edge. Princeton researchers are deeply involved in both of these aspects, including for example the development of “grey box” ML algorithms that can take advantage of both physical models and data to optimize elements of mobile networks, and the development of distributed machine learning algorithms that are optimized for operation over the wireless medium.