no code implementations • 21 May 2024 • Carla Fabiana Chiasserini, Francesco Malandrino, Nuria Molner, Zhiqiang Zhao
Pruning neural networks, i. e., removing some of their parameters whilst retaining their accuracy, is one of the main ways to reduce the latency of a machine learning pipeline, especially in resource- and/or bandwidth-constrained scenarios.
no code implementations • 1 Aug 2022 • Jorge Martín-Pérez, Nuria Molner, Francesco Malandrino, Carlos Jesús Bernardos, Antonio de la Oliva, David Gomez-Barquero
Open Radio Access Network (O-RAN) is an emerging paradigm, whereby virtualized network infrastructure elements from different vendors communicate via open, standardized interfaces.
no code implementations • 5 Feb 2021 • Francesco Malandrino, Carla Fabiana Chiasserini, Nuria Molner, Antonio de la Oliva
We then formulate the problem of selecting (i) which learning and information nodes should cooperate to complete the learning task, and (ii) the number of iterations to perform, in order to minimize the learning cost while meeting the target prediction error and execution time.
BIG-bench Machine Learning Vocal Bursts Intensity Prediction