>[!summary] > Mobile-edge intelligence is a paradigm that combines AI with edge computing to enable real-time data processing and decision-making closer to the data source. This approach is vital for applications requiring low latency, such as augmented reality, industrial IoT, and telemedicine. Employing techniques like federated learning and distributed AI, mobile-edge intelligence enhances privacy, scalability, and performance, making it a crucial component of next-generation networks. >[!References] >- Ağca, Muhammed Akif; Faye, Sébastien; Khadraoui, Djamel; (2023). **Trusted Distributed Artificial Intelligence (TDAI)**. IEEE Access. [![DOI](https://img.shields.io/badge/DOI-10.1109%2FACCESS.2024.3418301-blue?style=flat-square)](https://doi.org/10.1109/ACCESS.2024.3418301)