Machine Learning for Internet of Things: Applications and Discussions

The Internet of Things (IoT) has emerged as a powerful network paradigm, connecting diverse devices and generating vast amounts of data. Analyzing these data offers valuable insights and enables the development of sophisticated systems to improve our lives. However, processing the data from various devices with diverse backgrounds and requirements remains an important challenge. To process heterogeneous data, machine learning (ML) has emerged as a promising solution for managing large-scale and high-dimensional data in IoT networks. ML can support IoT networks by providing meaningful insights across various applications. Despite the immense potential of ML in the IoT landscape, several challenges remain. In this paper, we investigate the application of ML and discuss the considerations for employing ML in the context of IoT networks.