An interpolation approximation plus layer-weighted loss enables stronger data reconstruction attacks on FedAvg federated learning, with experiments showing gains on image data over prior methods.
Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study
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Approximate and Weighted Data Reconstruction Attack in Federated Learning
An interpolation approximation plus layer-weighted loss enables stronger data reconstruction attacks on FedAvg federated learning, with experiments showing gains on image data over prior methods.