A project between SCANlab and Huawei Munich Research Center, which focuses on the implementation and evaluation of a novel scheme for Quality of Service (QoS) prediction tailored -but not limited to- Vehicle-to-Everything (V2X) communications. The aim of this work is the development of a distributed learning framework for QoS prediction, aiming to provide QoS predictions for end users, up to a preselected time period, while preserving data privacy and reducing signaling overhead.