两篇论文被NeurIPS 2024接收
论文“PrivCirNet: Efficient Private Inference via Block Circulant Transformation”和“ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction”被NeurIPS'2024接收。
论文“PrivCirNet: Efficient Private Inference via Block Circulant Transformation”和“ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction”被NeurIPS'2024接收。