2 papers
quant-ph2026
Can Quantum Federated Learning Withstand Circuit-Level Backdoors?
Aakar Mathur, Mohammed Ruknuddin, Ashish Gupta
Quantum Federated Learning (QFL) inherits the core vulnerability of federated optimization to malicious clients, while also introducing an attack surface from variational circuit t…
cs.DC2025
When Federated Learning Meets Quantum Computing: Survey and Research Opportunities
Aakar Mathur, Ashish Gupta, Sajal K. Das
Quantum Federated Learning (QFL) is an emerging field that harnesses advances in Quantum Computing (QC) to improve the scalability and efficiency of decentralized Federated Learnin…