2 papers
eess.SP2020
Federated Classification using Parsimonious Functions in Reproducing Kernel Hilbert Spaces
Maria Peifer, Alejandro Ribeiro
Federated learning forms a global model using data collected from a federation agent. This type of learning has two main challenges: the agents generally don't collect data over th…
eess.SP2019
Sparse multiresolution representations with adaptive kernels
Maria Peifer, Luiz. F. O. Chamon, Santiago Paternain +1
Reproducing kernel Hilbert spaces (RKHSs) are key elements of many non-parametric tools successfully used in signal processing, statistics, and machine learning. In this work, we a…