3 citations · 8 across the 17 of their papers we have counts for
3 papers · 1 filter
Federated Quantum Long Short-term Memory (FedQLSTM)
Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad +1
Quantum federated learning (QFL) can facilitate collaborative learning across multiple clients using quantum machine learning (QML) models, while preserving data privacy. Although…
Foundations of Quantum Federated Learning Over Classical and Quantum Networks
Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad +2
Quantum federated learning (QFL) is a novel framework that integrates the advantages of classical federated learning (FL) with the computational power of quantum technologies. This…
Federated Quantum Machine Learning with Differential Privacy
Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng +1
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…