Xuemin Shen

P4NIS: Improving network immunity against eavesdropping with programmable data planes

2020

Due to improving computational capacity of supercomputers, transmitting encrypted packets via one single network path is vulnerable to brute-force attacks. The versatile attackers secretly eavesdrop all the packets, classify packets into different streams, performs an …

Privacy-Preserving Task Matching With Threshold Similarity Search via Vehicular Crowdsourcing

2021 · IEEE Transactions on Vehicular Technology

In vehicular crowdsourcing, task requesters rely on a server to distribute spatial crowdsourcing tasks to on-road vehicular workers based on interests and locations. To protect the privacy of the interests and locations, both requesters and …

Optimal Stochastic Resource Allocation for Distributed Quantum Computing

2022 · arXiv (Cornell University)

With the advent of interconnected quantum computers, i.e., distributed quantum computing (DQC), multiple quantum computers can now collaborate via quantum networks to perform massively complex computational tasks. However, DQC faces problems sharing quantum information because …

RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity

2023 · IEEE Transactions on Mobile Computing

Federated learning (FL) has gained increasing attention due to its ability to collaboratively train while protecting client data privacy. However, vanilla FL cannot adapt to client heterogeneity, leading to a degradation in training efficiency due …