2 papers
cs.AR2026
ViM-Q: Scalable Algorithm-Hardware Co-Design for Vision Mamba Model Inference on FPGA
Shengzhe Lyu, Yuhan She, Patrick S. Y. Hung +2
Vision Mamba (ViM) models offer a compelling efficiency advantage over Transformers by leveraging the linear complexity of State Space Models (SSMs), yet efficiently deploying them…
cs.CR2025
HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge
Yu Hin Chan, Hao Yang, Shiyu Shen +4
Privacy-preserving machine learning (PPML) is an emerging topic to handle secure machine learning inference over sensitive data in untrusted environments. Fully homomorphic encrypt…