Smart Radio Vision

Device-free radio-based imaging and vision systems

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Smart Radio Vision

Decentralized federated learning for healthcare networks: A case study on tumor segmentation

https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9676574

Questo articolo è stato pubblicato in Uncategorized il gennaio 16, 2023 da wp_1105984.

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Information

The project aims at integrating a new generation of environmental recognition capabilities into embedded IoT radio devices. Radio signals encode a 3D view of all moving/fixed objects traversed by their propagation, and such view can be recovered at the receiver(s) side by data analytic tools. The project develops the key enabling technologies to decode this visual information by large-scale processing of radio signals.

Recently published

  • Decentralized federated learning for healthcare networks: A case study on tumor segmentation
  • An Energy and Carbon Footprint Analysis of Distributed and Federated Learning
  • Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
  • Federated learning with cooperating devices: A consensus approach for massive IoT networks
  • Electromagnetic Models for Passive Detection and Localization of Multiple Bodies

Demo ICT4All

https://youtu.be/GL3pUe5UWyI

Selected images

HRC tests at CNR
Passive vs. active
DFL at ITIA-CNR labs

THz radios (IEIIT-CNR)
Wavelab (CNR-POLIMI)
WiFi devices