三篇论文被DAC'2024接收

三篇关于高效与隐私保护深度学习的论文被DAC'2024接收为正式论文，包括“Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption”、“FastQuery: Communication-efficient Embedding Table Query for Private LLMs inference”和“MoteNN: Memory Optimization via Fine-grained Scheduling for Deep Neural Networks on Tiny Devices”。