QuantumShield: Multilayer Fortification for Quantum Federated Learning

• URL: http://arxiv.org/abs/2510.22945v1
• Date: Mon, 27 Oct 2025 02:59:33 GMT
• Title: QuantumShield: Multilayer Fortification for Quantum Federated Learning
• Authors: Dev Gurung, Shiva Raj Pokhrel,
• Abstract summary: We propose a quantum-secure federated learning (QFL) framework designed to safeguard distributed learning systems against the emerging threat of quantum-enabled adversaries.<n>We integrate and rigorously evaluate advanced quantum and post-quantum protocols to fortify the QFL process against both classical and quantum threats.
• Score: 7.283533791778357
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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.

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