In emergency response operations, using uncrewed aerial vehicles (UAVs) has recently become a promising solution due to their flexibility and easy deployment. However, tasks performed by the UAVs, e.g., object detection human pose recognition, usually require high computation capacity energy supply. Furthermore, offloading edge server-equipped base stations may not always be possible because of...

In Federated Learning (FL), a global statistical model is developed by encouraging mobile users to perform the training on their local data and aggregating output parameters in an iterative manner. However, due limited energy computation capability at devices, performance of always stake meet objective minimization. this regard, Multi-access Edge Computing (MEC)-enabled FL addresses tradeoff be...

The fifth generation (5G) mobile telecommunication network is expected to support multi-access mobile edge computing (MEC), which intends to distribute computation tasks and services from the central cloud to the edge clouds. Towards ultraresponsive, ultra-reliable and ultra-low-latency MEC services, the current mobile network security architecture should enable more decentralized approach for ...