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Private Training Set Inspection in MLaaS
In this case, the training datasets are typically a private possession of the ML or data companies and are inaccessible to the customers, but the customers still need an approach to confirm that the training datasets meet their expectations and fulfil regulatory measures like fairness.
Learning to Compensate: A Deep Neural Network Framework for 5G Power Amplifier Compensation
In the proposed framework, Deep Neural Networks (DNNs) are used to learn the characteristics of the PAs, while, correspondent Digital Pre-Distortions (DPDs) are also learned to compensate for the nonlinear and memory effects of PAs.
Image Restoration using Total Variation with Overlapping Group Sparsity
Usually, the high-order total variation (HTV) regularizer is an good option except its over-smoothing property.
Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization
Convex optimization with sparsity-promoting convex regularization is a standard approach for estimating sparse signals in noise.
