Abstract: Federated Learning (FL) is a Machine Learning (ML) setting in which several clients (e.g., mobile devices) train a model cooperatively under the direction of a central server (e.g., cloud ...
Abstract: We study the spectral super-resolution problem, which concerns the construction of an undamped spectrally sparse signal and its frequencies from its partially revealed entries. We propose a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback