McGill engineering researchers have introduced an open-source model that makes it easier for experts and non-experts alike to ...
Abstract: Federated learning (FL) is a promising paradigm that can enable collaborative model training between vehicles while protecting data privacy, thereby significantly improving the performance ...
Abstract: Channel model substitution (CMS) is a technique that aims to replace a computationally challenging channel model with a simpler substitute. This technique is powerful for rapid adaptive ...