IEEE

An Adaptive Population Importance Sampler: Learning From Uncertainty

Abstract: Monte Carlo (MC) methods are well-known computational techniques, widely used in different fields such as signal processing, communications and machine learning. An important class of MC ...
IEEE

Joint Privacy Enhancement and Quantization in Federated Learning

Abstract: Federated learning (FL) is an emerging paradigm for training machine learning models using possibly private data available at edge devices. The distributed operation of FL gives rise to ...