{"id":623,"date":"2023-01-17T16:46:08","date_gmt":"2023-01-17T16:46:08","guid":{"rendered":"https:\/\/www.wavelab.polimi.it\/?page_id=623"},"modified":"2023-01-17T18:08:34","modified_gmt":"2023-01-17T18:08:34","slug":"publications-and-downloads","status":"publish","type":"page","link":"https:\/\/www.wavelab.polimi.it\/?page_id=623","title":{"rendered":"Selected publications"},"content":{"rendered":"\n<p>S. Kianoush, S. Savazzi, V. Rampa, L. Costa and D. Tolochenko, &#8220;A Random Forest Approach to Body Motion Detection: Multi-sensory Fusion and Edge Processing,&#8221; in\u00a0<em>IEEE Sensors Journal<\/em>, doi: 10.1109\/JSEN.2022.3232085.<\/p>\n\n\n\n<p>S. Savazzi, V. Rampa, S. Kianoush and M. Bennis, &#8220;An Energy and Carbon Footprint Analysis of Distributed and Federated Learning,&#8221; in\u00a0<em>IEEE Transactions on Green Communications and Networking<\/em>, 2022, doi: 10.1109\/TGCN.2022.3186439.<\/p>\n\n\n\n<p>B. Camajori Tedeschini\u00a0<em>et al<\/em>., &#8220;Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation,&#8221;\u00a0<em>IEEE Access<\/em>, vol. 10, pp. 8693-8708, 2022, doi: 10.1109\/ACCESS.2022.3141913.<\/p>\n\n\n\n<p>L Barbieri, S Savazzi, M Brambilla, M Nicoli, \u201cDecentralized federated learning for extended sensing in 6G connected vehicles\u201d, Vehicular Communications, 33, 2022<\/p>\n\n\n\n<p>V. Rampa, G. G. Gentili, S. Savazzi and M. D\u2019Amico, &#8220;Electromagnetic Models for Passive Detection and Localization of Multiple Bodies,&#8221;\u00a0 IEEE Transactions on Antennas and Propagation, vol. 70, no. 2, pp. 1462-1475, Feb. 2022<\/p>\n\n\n\n<p>S. Savazzi, M. Nicoli, M. Bennis, S. Kianoush and L. Barbieri, &#8220;Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems,&#8221; IEEE Communications Magazine, vol. 59, no. 2, pp. 16-21, February 2021<\/p>\n\n\n\n<p>S. Kianoush, S. Savazzi, M. Beschi S. Sigg, V. Rampa, \u201cA<br>Multisensory Edge-Cloud Platform for Opportunistic Radio Sensing in Cobot Environments\u201d, IEEE Internet of Things Journal, vol. 8, no. 2, pp. 1154-1168, Jan, 2021.<\/p>\n\n\n\n<p>S. Savazzi, M. Nicoli, V. Rampa, \u201cFederated Learning with Cooperating Devices: A Consensus\u00a0 Approach for Massive IoT Networks\u201d, IEEE Internet of Things J., 2020<\/p>\n\n\n\n<p>S. Savazzi, S. Sigg, F. Vicentini, S. Kianoush and R. Findling, &#8220;On the Use of Stray Wireless Signals for Sensing: A Look Beyond 5G for the Next Generation of Industry,&#8221; in Computer, vol. 52, no. 7, pp. 25-36, July 2019<\/p>\n\n\n\n<p>G. Soatti, S. Savazzi, M. Nicoli, M. Antonieta Alvarez, S. Kianoush, V. Rampa, U. Spagnolini,\u00a0\u201cDistributed signal processing for dense 5G IoT platforms: Networking, synchronization, interference detection and radio sensing,\u201d Ad Hoc Networks, vol. 89, 2019, pp. 9-21, ISSN\u00a0\u00a01570-8705.<\/p>\n\n\n\n<p>S. Kianoush, S. Savazzi, F. Vicentini, V. Rampa and M. Giussani \u201cDevice-free RF human body fall detection and localization in industrial workplaces,\u201d IEEE Internet of Things Journal, 2017<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>S. Kianoush, S. Savazzi, V. Rampa, L. Costa and D. Tolochenko, &#8220;A Random Forest Approach to Body Motion Detection: Multi-sensory Fusion and Edge Processing,&#8221; in\u00a0IEEE Sensors Journal, doi: 10.1109\/JSEN.2022.3232085. S. Savazzi, V. Rampa, S. Kianoush and M. Bennis, &#8220;An Energy and Carbon Footprint Analysis of Distributed and Federated Learning,&#8221; in\u00a0IEEE Transactions on Green Communications and [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-623","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/623","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=623"}],"version-history":[{"count":4,"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/623\/revisions"}],"predecessor-version":[{"id":683,"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/623\/revisions\/683"}],"wp:attachment":[{"href":"https:\/\/www.wavelab.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=623"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}