Moving toward the Internet of Intelligence

In this section, we will talk about why FL is quite important in the context of the latest development of scalable technologies, such as the IoT and 5G. As in the previous section, the areas in which AI needs to keep learning at scale include autonomous driving, retail systems, energy management, robotics, and manufacturing, all of which generate a huge amount of data on the edge side, and most of the data needs to be fully learned to generate performant ML models.

Following this trend, let us look into the world of the Internet of Intelligence, in which learning can happen on the edge side to cope with dynamic environments and numerous devices connected to the Internet.

Introducing the IoFT

The IoT involves intelligent and connected systems. They are intelligent because the information is shared and intelligence is extracted and used for some purpose – for example, prediction or control of a device. They are often connected...