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

TL;DR

This paper introduces a secure quantum federated learning model using post-quantum cryptography, focusing on dynamic server selection, convergence, and security, with publicly available implementation and results.

Contribution

It presents a novel PQC-based quantum federated learning framework with dynamic server selection and security analysis.

Findings

Framework ensures secure communication in quantum federated learning.

Convergence conditions are established for the proposed model.

Implementation results demonstrate practical viability.

Abstract

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.