59 citations · 260 across the 20 of their papers we have counts for
5 papers · 1 filter
FedDQ: Communication-Efficient Federated Learning with Descending Quantization
Linping Qu, Shenghui Song, Chi-Ying Tsui
Federated learning (FL) is an emerging learning paradigm without violating users' privacy. However, large model size and frequent model aggregation cause serious communication bott…
Microshift: An Efficient Image Compression Algorithm for Hardware
Bo Zhang, Pedro V. Sander, Chi-Ying Tsui +1
In this paper, we propose an image compression algorithm called Microshift. We employ an algorithm hardware co-design methodology, yielding a hardware-friendly compression approach…
Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation
Xizi Chen, Jingyang Zhu, Jingbo Jiang +1
The unstructured sparsity after pruning poses a challenge to the efficient implementation of deep learning models in existing regular architectures like systolic arrays. On the oth…
Polyimide-Based Flexible Coupled-Coils Design and Load-Shift Keying Analysis
Yuan Yao, Wing-Hung Ki, Chi-Ying Tsui
Wireless power transfer using inductive coupling is commonly used for medical implantable devices. The design of the secondary coil on the implantable device is important as it wil…
Accelerating Large Kernel Convolutions with Nested Winograd Transformation.pdf
Jingbo Jiang, Xizi Chen, Chi-Ying Tsui
Recent literature has shown that convolutional neural networks (CNNs) with large kernels outperform vision transformers (ViTs) and CNNs with stacked small kernels in many computer…