CryptoQFL: Quantum Federated Learning on Encrypted Data
CryptoQFL: Quantum Federated Learning on Encrypted Data
Recent advancements in Quantum Neural Networks (QNNs) have demonstrated theoretical and experimental performance superior to their classical counterparts in a wide range of applications. However, existing centralized QNNs cannot solve many real-world problems because collecting large amounts of training data to a common public site is time-consuming and, more importantly, …