https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9676574
Archivi autore: wp_1105984
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
S. Kianoush, S. Savazzi, M. Beschi, S. Sigg and V. Rampa, “A Multisensory Edge-Cloud Platform for Opportunistic Radio Sensing in Cobot Environments,” in IEEE Internet of Things Journal, vol. 8, no. 2, pp. 1154-1168, 15 Jan.15, 2021, doi: 10.1109/JIOT.2020.3011809.
S. Kianoush, M. Raja, S. Savazzi and S. Sigg, “A Cloud-IoT Platform for Passive Radio Sensing: Challenges and Application Case Studies,” in IEEE Internet of Things Journal, vol. 5, no. 5, pp. 3624-3636, Oct. 2018
S. Kianoush, S. Savazzi, F. Vicentini, V. Rampa, M. Giussani, “Device-free RF human body fall detection and localization in industrial workplaces,” IEEE Internet of Things Journal, vol. 4, no. 2, pp. 351-362, April 2017.
S. Savazzi, S. Sigg, M. Nicoli, V. Rampa, S. Kianoush, U. Spagnolini, “Device-free Radio Vision for assisted living: leveraging wireless channel quality information for human sensing,” IEEE Signal Processing Magazine, vol. 33, no. 2, pp. 45-58, March 2016.