activity
20222024
most citedTowards Quantum Federated Learning

14 citations · 26 across the 11 of their papers we have counts for

collaborators

12 papers

cs.NI2024★ 2 cited

Generative AI-enabled Quantum Computing Networks and Intelligent Resource Allocation

Minrui Xu, Dusit Niyato, Jiawen Kang +5

Quantum computing networks enable scalable collaboration and secure information exchange among multiple classical and quantum computing nodes while executing large-scale generative…

quant-ph2023★ 1 cited

Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud Computing

Rakpong Kaewpuang, Minrui Xu, Dinh Thai Hoang +5

Quantum cloud computing (QCC) offers a promising approach to efficiently provide quantum computing resources, such as quantum computers, to perform resource-intensive tasks. Like t…

eess.SY2023

Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing

Ziqiang Ye, Yulan Gao, Yue Xiao +3

In this paper, we aim to address the challenge of hybrid mobile edge-quantum computing (MEQC) for sustainable task offloading scheduling in mobile networks. We develop cost-effecti…

cs.LG2023★ 14 cited

Towards Quantum Federated Learning

Chao Ren, Rudai Yan, Huihui Zhu +9

Quantum Federated Learning (QFL) is an emerging interdisciplinary field that merges the principles of Quantum Computing (QC) and Federated Learning (FL), with the goal of leveragin…

cs.CV2023★ 1 cited

DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation

Yu Guo, Ryan Wen Liu, Jiangtian Nie +5

Visual surveillance technology is an indispensable functional component of advanced traffic management systems. It has been applied to perform traffic supervision tasks, such as ob…

quant-ph2023

Entangled Pair Resource Allocation under Uncertain Fidelity Requirements

Rakpong Kaewpuang, Minrui Xu, Stephen John Turner +3

In quantum networks, effective entanglement routing facilitates remote entanglement communication between quantum source and quantum destination nodes. Unlike routing in classical…

cs.GT2023

Evolutionary Carrier Selection for Shared Truck Delivery Services

Rakpong Kaewpuang, Suttinee Sawadsitang, Dusit Niyato +1

With multiple carriers in a logistics market, customers can choose the best carrier to deliver their products and packages. In this paper, we present a novel approach of using the…

eess.SY2022

Multi-Resource Allocation for On-Device Distributed Federated Learning Systems

Yulan Gao, Ziqiang Ye, Han Yu +3

This work poses a distributed multi-resource allocation scheme for minimizing the weighted sum of latency and energy consumption in the on-device distributed federated learning (FL…

quant-ph2022

Stochastic Qubit Resource Allocation for Quantum Cloud Computing

Rakpong Kaewpuang, Minrui Xu, Dusit Niyato +3

Quantum cloud computing is a promising paradigm for efficiently provisioning quantum resources (i.e., qubits) to users. In quantum cloud computing, quantum cloud providers provisio…

cs.CR2022★ 1 cited

Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication

Rakpong Kaewpuang, Minrui Xu, Wei Yang Bryan Lim +4

Increasing privacy and security concerns in intelligence-native 6G networks require quantum key distribution-secured semantic information communication (QKD-SIC). In QKD-SIC system…

cs.DC2022★ 2 cited

DQCO: Distributed Quantum Computing for Collaborative Optimization in Future Networks

Napat Ngoenriang, Minrui Xu, Jiawen Kang +4

With the advantages of high-speed parallel processing, quantum computers can efficiently solve large-scale complex optimization problems in future networks. However, due to the unc…

cs.DC2022★ 5 cited

Optimal Stochastic Resource Allocation for Distributed Quantum Computing

Napat Ngoenriang, Minrui Xu, Sucha Supittayapornpong +4

With the advent of interconnected quantum computers, i.e., distributed quantum computing (DQC), multiple quantum computers can now collaborate via quantum networks to perform massi…