2 papers
cs.PF2025
Dynamic Expert Quantization for Scalable Mixture-of-Experts Inference
Kexin Chu, Dawei Xiang, Zixu Shen +3
Mixture-of-Experts (MoE) has become a practical architecture for scaling LLM capacity while keeping per-token compute modest, but deploying MoE models on a single, memory-limited G…
cs.CR2023
A Privacy-Preserving Trajectory Synthesis Method Based on Vector Translation Invariance Supporting Traffic Constraints
Zechen Liu, Wei Song, Yuhan Wang
With the popularization of different kinds of smart terminals and the development of autonomous driving technology, more and more services based on spatio-temporal data have emerge…