3 citations · 3 across the 2 of their papers we have counts for
2 papers
quant-ph2023
Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent
Jun Qi, Xiao-Lei Zhang, Javier Tejedor
Quantum federated learning (QFL) is a quantum extension of the classical federated learning model across multiple local quantum devices. An efficient optimization algorithm is alwa…
quant-ph2022★ 3 cited
Federated Quantum Natural Gradient Descent for Quantum Federated Learning
Jun Qi
The heart of Quantum Federated Learning (QFL) is associated with a distributed learning architecture across several local quantum devices and a more efficient training algorithm fo…