FLASH: An Efficient Hardware Accelerator Leveraging Approximate and Sparse FFT for Homomorphic Encryption

Tengyu Zhang

PhD Student (co-advised with Prof. Runsheng Wang, 2022)

Meng Li

Assistant Professor

I develop efficient and privacy-preserving AI systems through algorithm–hardware co-design, with applications in large language models, embodied AI, and multimodal intelligence.