Preprint
Jul 2026
A Drift Stable Quantum Federated Learning for Intelligent Services
DUQFL-Prox is proposed, a drift-stable quantum federated learning framework based on deep-unfolded local optimization that improves stability, generalization, and client fairness compared with standard QFL baselines and is suggested to support more reliable and fair intelligent services in heterogeneous distributed environments.
S. I. Nanayakkara, Shiva Raj Pokhrel
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