9 citations · 15 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 6 cited
Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment
Yuhao Ji, Chao Fang, Shaobo Ma +2
Transformer models have revolutionized AI tasks, but their large size hinders real-world deployment on resource-constrained and latency-critical edge devices. While binarized Trans…
cs.AR2024★ 9 cited
BETA: Binarized Energy-Efficient Transformer Accelerator at the Edge
Yuhao Ji, Chao Fang, Zhongfeng Wang
Existing binary Transformers are promising in edge deployment due to their compact model size, low computational complexity, and considerable inference accuracy. However, deploying…