5 citations · 11 across the 7 of their papers we have counts for
7 papers
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning
Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu +1
Most existing studies improve the efficiency of Split learning (SL) by compressing the transmitted features. However, most works focus on dimension-wise compression that transforms…
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation
Yu-Shan Tai, Cheng-Yang Chang, Chieh-Fang Teng +2
Recently, deep convolutional neural networks (CNNs) have achieved many eye-catching results. However, deploying CNNs on resource-constrained edge devices is constrained by limited…
Compression-aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations
Yu-Shan Tai, Chieh-Fang Teng, Cheng-Yang Chang +1
Convolutional neural networks (CNNs) achieve remarkable performance in a wide range of fields. However, intensive memory access of activations introduces considerable energy consum…
An Effective Entropy-assisted Mind-wandering Detection System with EEG Signals based on MM-SART Database
Yi-Ta Chen, Hsing-Hao Lee, Ching-Yen Shih +4
Mind-wandering (MW), which usually defined as a lapse of attention, occurs between 20%-40% of the time, has negative effects on our daily life. Therefore, detecting when MW occurs…
Task-Projected Hyperdimensional Computing for Multi-Task Learning
Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Wu
Brain-inspired Hyperdimensional (HD) computing is an emerging technique for cognitive tasks in the field of low-power design. As a fast-learning and energy-efficient computational…
AdaBoost-assisted Extreme Learning Machine for Efficient Online Sequential Classification
Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu +1
In this paper, we propose an AdaBoost-assisted extreme learning machine for efficient online sequential classification (AOS-ELM). In order to achieve better accuracy in online sequ…