Tiny machine learning at edge computing
Embedded Machine Learning (ML) advantages: 1. low cost 2. more use cases 3. less delay 4. energy efficient 5. privacy Edge Computing (EC) challenges [1]: 1. task scheduling 2. resource allocation 3. delay optimization 4. energy consumption optimization 5. privacy and security [1] Hua, H., Li, Y., Wang, T., Dong, N., Li, W. and Cao, J., 2023. Edge computing with artificial intelligence: A machine learning perspective. ACM Computing Surveys , 55 (9), pp.1-35.