Edge Server

Edge servers are strategically positioned computing resources that bring processing power closer to data sources, addressing limitations of cloud computing in latency-sensitive applications. Current research focuses on optimizing resource allocation and model training efficiency for various tasks, including large language model training, real-time object detection (often using lightweight deep learning models like optimized YOLO), and generative AI content creation, employing techniques like federated learning, reinforcement learning, and multi-task learning. This work is significant for improving the performance and scalability of AI applications across diverse domains, from autonomous vehicles and IoT devices to smart traffic management and industrial automation, while also addressing challenges related to energy efficiency, communication overhead, and data privacy.