Over the last 10 years, there has been a rise in the use of machine learning in commercial applications and advancements in wireless communication. This has led to the development of "smart devices" but raises concerns about data privacy and security as data is processed in the cloud. Recently, efforts have been made to combine machine learning and IoT to create embedded intelligence on devices, called TinyML. This can improve security and reduce power consumption, but also presents challenges with data privacy and transparency.