基于模型的量子联邦学习(QFL)

Apr, 2023

Model-Driven Quantum Federated Learning (QFL)

Armin Moin, Atta Badii, Moharram Challenger

TL;DR该研究提出了一种在机器学习系统中扩展现有领域特定的建模驱动工具来支持量子联邦学习的方法，该方法可以为开发人员提供一个从底层到联邦学习库的抽象层，以实现量子机器学习的最新技术。

Abstract

Recently, several studies have proposed frameworks for quantum federated learning (QFL). For instance, the Google tensorflow quantum (TFQ) and TensorFlow Federated (TFF) libraries have been deployed for realizing