A Stable Aggregation Method for Quantum Federated Learning
A novel self-consistent midpoint aggregation method is developed that combines QoS-aware client weighting, circular parameter aggregation, and bounded midpoint-based update control and shows improved stability, lower volatility, and competitive accuracy in QFL.
S. Nanayakkara, Shiva Raj Pokhrel
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