Understanding the Resource Cost of Fully Homomorphic Encryption in Quantum Federated Learning

Lukas Böhm, Arjhun Swaminathan, Anika Hannemann +1

Quantum Federated Learning (QFL) enables distributed training of Quantum Machine Learning (QML) models by sharing model gradients instead of raw data. However, these gradients can…