We introduce Quantum-KIP, a method that compresses a training set into a small set of kernel inducing points with soft labels. It uses a quantum feature map to compute state-fidelity overlaps and relies only on forward evaluations, avoiding backpropagation through quantum circuits. We provide a compression-induced stab...
Baobao Song, Shiva Raj Pokhrel, Athanasios V. Vasilakos et al.· IEEE Transactions on Informa...· 0 citations
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.
TRISHUL is proposed, a spectral-control framework for robust federated PEFT that follows the FL no-raw-data-sharing setting but does not itself provide formal privacy guarantees, and improves convergence, stability, and final performance over federated LoRA baselines.
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 env...
S. Nanayakkara, Shiva Raj Pokhrel· arXiv.org· 0 citations
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