An Introduction to Communication Efficient Edge Machine Learning

Understand

In the near future, Internet-of-Things (IoT) is expected to connect billions of devices (e.g., smartphones and sensors), which generate massive real-time data at the network edge.

• Intelligence can be distilled from the data to support next-generation AI-powered applications, which is called edge machine learning.
• One challenge faced by edge learning is the communication bottleneck, which is caused by the transmission of high-dimensional data from many edge devices to edge servers for learning.
• Traditional wireless techniques focusing only on efficient radio access are ineffective in tackling the challenge.