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Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption
FastQuery: Communication-efficient Embedding Table Query for Private LLMs inference
MoteNN: Memory Optimization via Fine-grained Scheduling for Deep Neural Networks on Tiny Devices
ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer
Enhancing 3D Detection Through Feature Aligned Deep Fusion
MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention
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