HybMED: A Hybrid Neural Network Training Processor with Multi-Sparsity Exploitation for Internet of Medical Things

Shiqi Zhao, Chuanqing Wang, Chaoming Fang, Fengshi Tian, Jie Yang and Mohamad Sawan

Article (2024)

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Department:	Department of Electrical Engineering
PolyPublie URL:	https://publications.polymtl.ca/65418/
Journal Title:	IEEE Transactions on Biomedical Circuits and Systems (vol. 18, no. 5)
Publisher:	Institute of Electrical and Electronics Engineers
DOI:	10.1109/tbcas.2024.3389875
Official URL:	https://doi.org/10.1109/tbcas.2024.3389875
Date Deposited:	07 May 2025 15:55
Last Modified:	07 May 2025 15:55

Cite in APA 7:	Zhao, S., Wang, C., Fang, C., Tian, F., Yang, J., & Sawan, M. (2024). HybMED: A Hybrid Neural Network Training Processor with Multi-Sparsity Exploitation for Internet of Medical Things. IEEE Transactions on Biomedical Circuits and Systems, 18(5), 1178-1189. https://doi.org/10.1109/tbcas.2024.3389875
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