七篇论文被ICCAD'2024接收
七篇论文被ICCAD'2024接收为正式论文,其中两篇关于隐私保护人工智能,五篇关于高效人工智能。
隐私保护人工智能方向论文:
- PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization
- FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference
高效人工智能方向论文:
- OSCA: End-to-end Serial Stochastic Computing Neural Acceleration with Fine-grained Scaling and Piecewise Activation
- HG-PIPE: Vision Transformer Acceleration with Hybrid-Grained Pipeline
- ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding
- AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference
- MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers