Mobile Edge

Mobile edge computing (MEC) focuses on bringing computation and storage resources closer to mobile devices, aiming to reduce latency, bandwidth consumption, and energy usage. Current research emphasizes efficient resource allocation strategies, often employing deep reinforcement learning and multi-agent systems to optimize task offloading, application placement, and model training in dynamic environments. This field is significant for enabling new applications like edge AI and personalized services, particularly with the rise of large language models and federated learning, while addressing challenges related to heterogeneous device capabilities and data privacy.