Choose, not Hoard: Information-to-Model Matching for Artificial Intelligence in O-RAN

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.

Network Support for High-performance Distributed Machine Learning

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