Publisher
Springer Science and Business Media LLC
Reference30 articles.
1. Li, G., Hari, S. K. S. , Sullivan, M., Tsai, T., Pattabiraman, K., Emer, J., & Keckler, S. W. (2017). Understanding error propagation in deep learning neural network (DNN) accelerators and applications. In International conference for high performance computing, networking, storage and analysis (pp. 1–12).
2. Chowdhary, K. (2020). Natural language processing. In Fundamentals of artificial intelligence (pp. 603–649).
3. 5G system (5GS); study on traffic characteristics and performance requirements for AI/ML model transfer. Technical Report TS 22.874, 3GPP (2021).
4. Liang, T., Glossner, J., Wang, L., Shi, S., & Zhang, X. (2021). Pruning and quantization for deep neural network acceleration: A survey. Neurocomputing, 461, 370–403.
5. Li, E., Zeng, L., Zhou, Z., & Chen, X. (2019). Edge AI: On-demand accelerating deep neural network inference via edge computing. IEEE Transactions on Wireless Communications, 19(1), 447–457.