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.
arXiv.org Artificial Intelligence
Apr-26-2023