Cryptoqfl: quantum federated learning on encrypted data

C Chu, L Jiang, F Chen - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
Recent advancements in Quantum Neural Networks (QNNs) have demonstrated theoretical
and experimental performance superior to their classical counterparts in a wide range of …

CryptoQFL: Quantum Federated Learning on Encrypted Data

C Chu, L Jiang, F Chen - 2023 IEEE International Conference on …, 2023 - computer.org
Abstract Recent advancements in Quantum Neural Networks (QNNs) have demonstrated
theoretical and experimental performance superior to their classical counterparts in a wide …

CryptoQFL: Quantum Federated Learning on Encrypted Data

C Chu, L Jiang, F Chen - inspirehep.net
Recent advancements in Quantum Neural Networks (QNNs) have demonstrated theoretical
and experimental performance superior to their classical counterparts in a wide range of …

CryptoQFL: Quantum Federated Learning on Encrypted Data

C Chu, L Jiang, F Chen - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Abstract Recent advancements in Quantum Neural Networks (QNNs) have demonstrated
theoretical and experimental performance superior to their classical counterparts in a wide …

CryptoQFL: Quantum Federated Learning on Encrypted Data

C Chu, L Jiang, F Chen - arXiv preprint arXiv:2307.07012, 2023 - arxiv.org
Recent advancements in Quantum Neural Networks (QNNs) have demonstrated theoretical
and experimental performance superior to their classical counterparts in a wide range of …

[PDF][PDF] CryptoQFL: Quantum Federated Learning on Encrypted Data

C Chu, L Jiang, F Chen - homes.luddy.indiana.edu
Recent advancements in Quantum Neural Networks (QNNs) have demonstrated theoretical
and experimental performance superior to their classical counterparts in a wide range of …