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Jun, 2023
量子联邦学习：分析、设计和实现挑战
Quantum Federated Learning: Analysis, Design and Implementation Challenges
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Dev Gurung, Shiva Raj Pokhrel, Gang Li
TL;DR
本文旨在全面概述目前量子联合学习基础，包括了新QFL框架的概念、广泛的应用案例和设计的关键因素，并考虑了各种QFL研究项目的技术贡献和限制，提出了未来研究方向和开放性问题。
Abstract
quantum federated learning
(QFL) has gained significant attention due to quantum computing and machine learning advancements. As the demand for QFL continues to surge, there is a pressing need to comprehend its intricacies in
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