Enabling Machine Learning on the Edge Using SRAM Conserving Efficient Neural Networks Execution Approach-Reference-Cited by-同舟云学术

Enabling Machine Learning on the Edge Using SRAM Conserving Efficient Neural Networks Execution Approach

Published:2021 Issue: Volume: Page:20-35
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
language:
Short-container-title:

Author:

Sudharsan Bharath,Patel Pankesh,Breslin John G.,Ali Muhammad Intizar

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86517-7_2

Reference17 articles.

1. Tinyml - how TVM is taming tiny. https://tvm.apache.org/2020/06/04/tinyml-how-tvm-is-taming-tiny

2. Chen, L.C., Papandreou, G., Schroff, F., Adam, H.: Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587 (2017)

3. Hinton, G., Vinyals, O., Dean, J.: Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)

4. Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017)

5. Hubara, I., Courbariaux, M., Soudry, D., El-Yaniv, R., Bengio, Y.: Binarized neural networks. In: Advances in Neural Information Processing Systems (2016)

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Micro IDS: On-Line Recognition of Denial-of-Service Attacks on IoT Networks;Advanced Information Networking and Applications;2023

2. TinyML-CAM;Proceedings of the 28th Annual International Conference on Mobile Computing And Networking;2022-10-14

3. OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices;IEEE Internet Computing;2022-05-01

4. Poster Abstract: Approach for Remote, On-Demand loading and Execution of TensorFlow Lite ML Models on Arduino IoT Boards;2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN);2022-05

5. ElastiQuant;Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing;2022-04-25