A Data-Encoding Approach to Quantum Federated Learning: Experimenting with Cloud Challenges
Author:
Affiliation:
1. IoT & SE Lab, Deakin University, Australia
2. Deakin University, Australia
Funder
School of IT Deakin University
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3663408.3665808
Reference8 articles.
1. Jacob Biamonte 2017. Quantum machine learning. Nature 549, 7671 (2017), 195–202.
2. Foundations of Quantum Federated Learning Over Classical and Quantum Networks
3. Genomic benchmarks: a collection of datasets for genomic sequence classification
4. Dev Gurung 2023. Secure communication model for quantum federated learning: A proof of concept. ICLR 2023 (2023).
5. Shiva Raj Pokhrel 2024. Quantum Federated Learning Experiments in the Cloud with Data Encoding. arXiv preprint arXiv:2405.00909 (2024).
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