QuantumShield: Multilayer Fortification for Quantum Federated Learning

TL;DR

QuantumShield introduces a novel quantum-secure federated learning framework that integrates quantum and post-quantum cryptographic protocols to defend against quantum-enabled adversaries, ensuring secure distributed learning in the emerging quantum era.

Contribution

This work presents the first comprehensive quantum-secure federated learning framework combining QKD, quantum teleportation, and post-quantum cryptography for enhanced security.

Findings

Framework demonstrates robustness against quantum attacks

Protocols are seamlessly integrated and scalable

Security and performance are validated through theoretical and experimental analysis

Abstract

In this paper, we propose a groundbreaking quantum-secure federated learning (QFL) framework designed to safeguard distributed learning systems against the emerging threat of quantum-enabled adversaries. As classical cryptographic methods become increasingly vulnerable to quantum attacks, our framework establishes a resilient security architecture that remains robust even in the presence of quantum-capable attackers. We integrate and rigorously evaluate advanced quantum and post-quantum protocols including Quantum Key Distribution (QKD), Quantum Teleportation, Key Encapsulation Mechanisms (KEM) and Post-Quantum Cryptography (PQC) to fortify the QFL process against both classical and quantum threats. These mechanisms are systematically analyzed and implemented to demonstrate their seamless interoperability within a secure and scalable QFL ecosystem. Through comprehensive theoretical modeling and experimental validation, this work provides a detailed security and performance assessment of the proposed framework. Our findings lay a strong foundation for next-generation federated learning systems that are inherently secure in the quantum era.