Tensor-network frontends compress inputs for MPC-secured federated learning, after which a quantum-enhanced processor refines the aggregated latent features, with TTN+QEP showing the most balanced performance on PneumoniaMNIST.
Spectral tensor train parameterization of deep learning layers
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Quantum-Enhanced Processing with Tensor-Network Frontends for Privacy-Aware Federated Medical Diagnosis
Tensor-network frontends compress inputs for MPC-secured federated learning, after which a quantum-enhanced processor refines the aggregated latent features, with TTN+QEP showing the most balanced performance on PneumoniaMNIST.