4 papers
Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices
Romina Soledad Molina, Vukan Ninkovic, Dejan Vukobratovic +2
Split Learning (SL) recently emerged as an efficient paradigm for distributed Machine Learning (ML) suitable for the Internet Of Things (IoT)-Cloud systems. However, deploying SL o…
Massive RF Simulation Applied to School Connectivity in Malawi
Ermanno Pietrosemoli, Marco Rainone, Marco Zennaro +1
Providing Internet connectivity to schools has been identified as paramount for development, for instance in the Giga project, cosponsored by ITU and UNICEF, with the goal of conne…
Radio Link Planning made easy with a Telegram Bot
Marco Zennaro, Marco Rainone, Ermanno Pietrosemoli
Traditional radio planning tools present a steep learning curve. We present BotRf, a Telegram Bot that facilitates the process by guiding non-experts in assessing the feasibility o…
Open and Regionalised Spectrum Repositories for Emerging Countries
Andrés Arcia-Moret, Arjuna Sathiaseelan, Marco Zennaro +3
TV White Spaces have recently been proposed as an alternative to alleviate the spectrum crunch, characterised by the need to reallocate frequency bands to accommodate the ever-grow…