4 papers
Rethinking Small VLM Quantization: From Component-Wise Analysis to Hardware-Aware Edge Deployment
Hyeju Shin, Chorwon Kim, Ryangsoo Kim +2
The emergence of vision language models with fewer than 3 billion parameters has accelerated the implementation of on-device multimodal intelligence. However, a detailed understand…
Fast Fourier Transform-Based Spectral and Temporal Gradient Filtering for Differential Privacy
Hyeju Shin, Vincent-Daniel, Kyudan Jung +1
Differential Privacy (DP) has emerged as a key framework for protecting sensitive data in machine learning, but standard DP-SGD often suffers from significant accuracy loss due to…
Improving the Real-Data Driven Network Evaluation Model for Digital Twin Networks
Hyeju Shin, Ibrahim Aliyu, Abubakar Isah +1
With the emergence and proliferation of new forms of large-scale services such as smart homes, virtual reality/augmented reality, the increasingly complex networks are raising conc…
A Data-Driven Digital Twin Network Architecture in the Industrial Internet of Things (IIoT) Applications
Abubakar Isah, Hyeju Shin, Ibrahim Aliyu +5
A new network named the "Digital Twin Network" (DTN) uses the "Digital Twin" (DT) technology to produce virtual twins of real things. The network load and size continue to grow as…