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