no code implementations • 31 Jan 2023 • Christopher W. F. Parsonson, Zacharaya Shabka, Alessandro Ottino, Georgios Zervas
Many of these models are too large to be trained on a single machine, and instead must be distributed across multiple devices.
no code implementations • 28 Nov 2022 • Alessandro Ottino, Joshua Benjamin, Georgios Zervas
Distributed deep learning (DDL) systems strongly depend on network performance.
no code implementations • 31 Aug 2020 • Alessandro Ottino, Hui Yuan, Yunnuo Xu, Eric Sillekens, Georgios Zervas
In addition, this model is consistent with statistical analysis such as short term average crosstalk (STAXT), keeping the same convergence properties and it showed to be almost independent to time-window.
no code implementations • 7 Aug 2020 • Hui Yuan, Alessandro Ottino, Yunnuo Xu, Arsalan Saljoghei, Tetsuya Hayashi, Tetsuya Nakanishi, Eric Sillekens, Lidia Galdino, Polina Bayvel, Zhixin Liu, Georgios Zervas
Space division multiplexing using multi-core fiber (MCF) is a promising solution to cope with the capacity crunch in standard single-mode fiber based optical communication systems.
no code implementations • 23 Dec 2019 • Eric Sillekens, Wenting Yi, Daniel Semrau, Alessandro Ottino, Boris Karanov, Sujie Zhou, Kevin Law, Jack Chen, Domanic Lavery, Lidia Galdino, Polina Bayvel, Robert I. Killey
We present the first experimental demonstration of learned time-domain digital back-propagation (DBP), in 64-GBd dual-polarization 64-QAM signal transmission over 1014 km.