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The high mobility of vehicles in vehicular networks presents difficulties in timely and low-delay content delivery. Edge caching is a promising approach for overcoming these challenges. By properly caching data, we aim to improve service performance and reduce the load on the backhaul network. We propose two unique methods for caching data in the Internet of Vehicles (IoV), based on the division of IoV data into two groups: safety and infotainment contents. Due to the different nature of each type, two unique methods are proposed for caching each type of content. The Federated Learning-based Mobility-aware Collaborative Content Caching (FM3C) method is designed for infotainment content, while the Spatio-Temporal Characteristics Aware Emergency Content Caching (STAECC) method is designed for emergency content. To predict the popularity of infotainment content, we implement a Long Short-Term …