no code implementations • 25 Oct 2023 • Linping Qu, Shenghui Song, Chi-Ying Tsui, Yuyi Mao
It is also shown that the uplink communication in FL can tolerate a higher bit error rate (BER) than downlink communication, and this difference is quantified by a proposed formula.
no code implementations • 14 Jul 2023 • Syed Mohsin Abbas, Marwan Jalaleddine, Chi-Ying Tsui, Warren J. Gross
GRAND features both soft-input and hard-input variants that are well suited to efficient hardware implementations that can be characterized with achievable average and worst-case decoding latency.
no code implementations • 12 Jul 2023 • Xiaomeng Wang, Fengshi Tian, Xizi Chen, Jiakun Zheng, Xuejiao Liu, Fengbin Tu, Jie Yang, Mohamad Sawan, Kwang-Ting Cheng, Chi-Ying Tsui
In this paper, we propose a high-precision SRAM-based CIM macro that can perform 4x4-bit MAC operations and yield 9-bit signed output.
no code implementations • 5 Oct 2021 • Linping Qu, Shenghui Song, Chi-Ying Tsui
Experimental results show that the proposed descending quantization scheme can save up to 65. 2% of the communicated bit volume and up to 68% of the communication rounds, when compared with existing schemes.
1 code implementation • 20 Apr 2021 • Bo Zhang, Pedro V. Sander, Chi-Ying Tsui, Amine Bermak
In our method, the image is first micro-shifted, then the sub-quantized values are further compressed.
no code implementations • 3 Apr 2021 • Xizi Chen, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui
Through permutation, the optimal arrangement of the weight matrix is obtained, and the sparse weight matrix is further compressed to a small and dense format to make full use of the hardware resources.
no code implementations • 26 Feb 2021 • Jingbo Jiang, Xizi Chen, Chi-Ying Tsui
This work proposes a nested Winograd algorithm that iteratively decomposes a large kernel convolution into small kernel convolutions and proves it to be more effective than the linear decomposition Winograd transformation algorithm.
no code implementations • 2 Feb 2021 • Yuan YAO, Wing-Hung Ki, Chi-Ying Tsui
A thorough analysis is done for the ideal and practical scenario and it shows that a mismatched secondary LC tank will affect the communication range and communication correctness.
no code implementations • 3 Nov 2017 • Jingyang Zhu, Jingbo Jiang, Xizi Chen, Chi-Ying Tsui
Furthermore, an energy-efficient hardware architecture, SparseNN, is proposed to exploit both the input and output sparsity.