Secure Communication Model For Quantum Federated Learning: A Post Quantum Cryptography (PQC) Framework
This addresses security vulnerabilities in quantum federated learning for researchers and practitioners, but it appears incremental as it builds on existing concepts.
The paper tackles the problem of securing quantum federated learning against quantum computing threats by designing a post-quantum cryptography framework, resulting in a model with dynamic server selection and analyzed convergence and security conditions.
We design a model of Post Quantum Cryptography (PQC) Quantum Federated Learning (QFL). We develop a framework with a dynamic server selection and study convergence and security conditions. The implementation and results are publicly available1.