A new adaptive privacy allocation and transmission power control scheme for wireless FL is proposed, with a convergence bound and MNIST/Fashion-MNIST experiments, but the DP sensitivity calibration and noise-switch condition are flawed.
Shield against gradient leakage attacks: Adaptive privacy-preserving federated learning,
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LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments
A new adaptive privacy allocation and transmission power control scheme for wireless FL is proposed, with a convergence bound and MNIST/Fashion-MNIST experiments, but the DP sensitivity calibration and noise-switch condition are flawed.