most citedA Survey on Private Transformer Inference

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SI2025

QuHE: Optimizing Utility-Cost in Quantum Key Distribution and Homomorphic Encryption Enabled Secure Edge Computing Networks

Liangxin Qian, Yang Li, Jun Zhao

Ensuring secure and efficient data processing in mobile edge computing (MEC) systems is a critical challenge. While quantum key distribution (QKD) offers unconditionally secure key…

eess.SP2025

Enhancing Data Processing Efficiency in Blockchain Enabled Metaverse over Wireless Communications

Liangxin Qian, Jun Zhao

In the rapidly evolving landscape of the Metaverse, enhanced by blockchain technology, the efficient processing of data has emerged as a critical challenge, especially in wireless…

cs.CR2025

Private Transformer Inference in MLaaS: A Survey

Yang Li, Xinyu Zhou, Yitong Wang +2

Transformer models have revolutionized AI, powering applications like content generation and sentiment analysis. However, their deployment in Machine Learning as a Service (MLaaS)…

cs.CR20241 cited

A Survey on Private Transformer Inference

Yang Li, Xinyu Zhou, Yitong Wang +2

Transformer models have revolutionized AI, enabling applications like content generation and sentiment analysis. However, their use in Machine Learning as a Service (MLaaS) raises…

eess.SP2024

Data Processing Efficiency Aware User Association and Resource Allocation in Blockchain Enabled Metaverse over Wireless Communications

Liangxin Qian, Jun Zhao

In the rapidly evolving landscape of the Metaverse, enhanced by blockchain technology, the efficient processing of data has emerged as a critical challenge, especially in wireless…