To distill more information from training data, more parameters are introduced into machine learning models. As a result, communication becomes the bottleneck of Distributed Machine Learning (DML) ...

In this paper, we propose a Two-Phase Client Selection strategy for federated learning (FedTPCS) in traffic flow prediction, aiming to minimize the total energy consumption of clients for ...