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Mar, 2021
联邦量子机器学习
Federated Quantum Machine Learning
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Samuel Yen-Chi Chen, Shinjae Yoo
TL;DR
本文主要介绍了基于量子可逆神经网络（QNN）和经典卷积神经网络(CNN)的混合模型，基于联邦学习的分布式训练可以极大地提高训练效率和数据隐私保护，并展示了分布式联邦学习方案对于扩展和隐私方面的有前景的未来研究方向。
Abstract
distributed training
across several quantum computers could significantly improve the training time and if we could share the learned model, not the data, it could potentially improve the data
privacy
as the trai
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