By J. Park, S. Samarakoon, M. Bennis, and M. Debbah
This article explores the key building blocks of “edge-ML”, which offers distributed, low-latency, and reliable machine learning at the wireless network edge.
By A. Conti, S. Mazuelas, S. Bartoletti, W. C. Lindsey, and M. Z. Win
This article aims to establish the use of soft-information-based methods for Localization-of-Things and to quantify their performance gain with respect to classical ones.