PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization
Type
Publication
In International Conference on Computer-Aided Design (ICCAD)
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.