Network Management

Network management aims to optimize network performance, resource allocation, and security through intelligent monitoring and control. Current research heavily emphasizes the application of machine learning, particularly deep learning and federated learning, to tasks such as traffic prediction, service detection, and anomaly detection, often employing ensemble methods to improve robustness. This focus on AI-driven solutions is driven by the increasing complexity and scale of modern networks, promising improved efficiency, reduced energy consumption, and enhanced quality of service. Furthermore, research explores using large language models to generate code for network management tasks, streamlining operations and potentially reducing human error.