Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
Abstract: The increasing popularity of large models and datasets has highlighted the significance of distributed training networks. As gradient synchronization generates substantial traffic, ...
Abstract: The exponential growth of the Internet of Things (IoT) has created an essential demand for Distributed Machine Learning (DML) systems. In this context, Federated Learning (FL) allows IoT ...