Design of a Novel Neural Network Compression Method for Tiny Machine Learning
Yingling Li, Zhipeng Li, Tianxing Zhang, Peng Zhou, Siyin Feng, Kunqin Yin · Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering · 2021
Traditional IoT processing data is sent from local devices to the cloud for processing, which has disadvantages such as low privacy, high latency, and low energy efficiency. These drawbacks can be effectively remedied by deploying the model for processing on devices at the "edge" of the cloud. In order to realize the data being processed directly on the cloud "edge" devices, the original machine learning algorithms need to be improved. One of the important steps is neural network compression.