activity
20182026
most citedFederated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks

440 citations · 531 across the 20 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

eess.SP2024★ 9 cited

On the impact of the antenna radiation patterns in passive radio sensing

Federica Fieramosca, Vittorio Rampa, Stefano Savazzi +1

Electromagnetic (EM) body models based on the scalar diffraction theory allow to predict the impact of subject motions on the radio propagation channel without requiring a time-con…

eess.SP2024

Full-wave EM simulation analysis of human body blockage by dense 2D antenna arrays

Federica Fieramosca, Vittorio Rampa, Michele D'Amico +1

Recently, proposals of human-sensing-based services for cellular and local area networks have brought indoor localization to the attention of several research groups. In response t…

eess.SP2024★ 6 cited

Physics-informed generative neural networks for RF propagation prediction with application to indoor body perception

Federica Fieramosca, Vittorio Rampa, Michele D'Amico +1

Electromagnetic (EM) body models designed to predict Radio-Frequency (RF) propagation are time-consuming methods which prevent their adoption in strict real-time computational imag…

cs.LG2024★ 1 cited

Cooperation and Federation in Distributed Radar Point Cloud Processing

S. Savazzi, V. Rampa, S. Kianoush +2

The paper considers the problem of human-scale RF sensing utilizing a network of resource-constrained MIMO radars with low range-azimuth resolution. The radars operate in the mmWav…

eess.SP2024★ 10 cited

An EM Body Model for Device-Free Localization with Multiple Antenna Receivers: A First Study

Vittorio Rampa, Federica Fieramosca, Stefano Savazzi +1

Device-Free Localization (DFL) employs passive radio techniques capable to detect and locate people without imposing them to wear any electronic device. By exploiting the Integrate…