Secure Communication Model For Quantum Federated Learning: A Post Quantum Cryptography (PQC) Framework

Gurung, Dev, Pokhrel, Shiva Raj, Li, Gang

arXiv.org Artificial Intelligence 

We develop a framework with a dynamic server selection and study convergence and security conditions. Quantum Federated Learning (QFL) is an emerging area with several studies in recent years; see (Larasati et al.) and references therein. In a different context, secure blockchain-based FL is proposed in (Xu et al., 2023). However, post-quantum secure QFL is poorly studied in the literature. We develop a preliminary study with a proof of concept model of post-quantum secure QFL.

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