Deep learning techniques such as convolutional neural networks (CNNs) have significantly impacted fields like computer vision and other Euclidean data domains. However, many domains have non-Euclidean ...

Furthermore, the current architecture of a server connected to multiple clients is highly sensitive to communication failures and computational overload at the server. In this work, we develop a ...