2 citations · 2 across the 13 of their papers we have counts for
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Distributed Quantum Learning over Near-term Devices: Convergence Analysis and Security Design
Atit Pokharel, Shaba Shaon, Thomas Morris +1
Distributed quantum learning (DQL) has emerged as a promising paradigm to scale quantum-enhanced machine learning by interconnecting multiple quantum devices. However, for efficien…
Communication-Efficient Quantum Federated Learning over Large-Scale Wireless Networks
Shaba Shaon, Christopher G. Brinton, Dinh C. Nguyen
Quantum federated learning (QFL) combines the robust data processing of quantum computing with the privacy-preserving features of federated learning (FL). However, in large-scale w…
Tackling Heterogeneity in Quantum Federated Learning: An Integrated Sporadic-Personalized Approach
Ratun Rahman, Shaba Shaon, Dinh C. Nguyen
Quantum federated learning (QFL) emerges as a powerful technique that combines quantum computing with federated learning to efficiently process complex data across distributed quan…