2024
Federated Quantum Machine Learning with Differential Privacy
ICASSP 2024accepted
The preservation of privacy is a critical concern in the implementation of artificial intelligence on sensitive training data. There are several techniques to preserve data privacy but quantum computations are inherently more secure due to the nocloning theorem, resulting in a most desirable computa…