Search Results for author: Thomas L. Marzetta

Found 2 papers, 0 papers with code

Nyquist-Sampling and Degrees of Freedom of Electromagnetic Fields

no code implementations21 Sep 2021 Andrea Pizzo, Andrea de Jesus Torres, Luca Sanguinetti, Thomas L. Marzetta

A signal space approach is presented to study the Nyquist sampling, number of degrees of freedom and reconstruction of an electromagnetic field under arbitrary scattering conditions.

How Does Cell-Free Massive MIMO Support Multiple Federated Learning Groups?

no code implementations20 Jul 2021 Tung T. Vu, Hien Quoc Ngo, Thomas L. Marzetta, Michail Matthaiou

Federated learning (FL) has been considered as a promising learning framework for future machine learning systems due to its privacy preservation and communication efficiency.

Federated Learning

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