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20222024
most citedTowards Quantum Federated Learning

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

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Showing 2022Show all

5 papers · 1 filter

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…