Abstract: Accurate spatial-temporal traffic modeling and prediction play an important role in intelligent transportation systems (ITS). Recently, various deep learning methods such as graph ...
Our new expansion to Indianapolis is preparing career-ready students for the jobs of tomorrow. Strong industry partnerships accelerate hands-on learning opportunities, internships and co-ops. We’re ...
Abstract: Quick global aggregation of effective distributed parameters is crucial to federated learning (FL), which requires adequate bandwidth for parameters communication and sufficient user data ...