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.


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