68 citations · 76 across the 5 of their papers we have counts for
5 papers
Study of the performance and scalability of federated learning for medical imaging with intermittent clients
Judith Sáinz-Pardo Díaz, Álvaro López García
Federated learning is a data decentralization privacy-preserving technique used to perform machine or deep learning in a secure way. In this paper we present theoretical aspects ab…
A Gaseous Argon-Based Near Detector to Enhance the Physics Capabilities of DUNE
A. Abed Abud, B. Abi, R. Acciarri +1239
This document presents the concept and physics case for a magnetized gaseous argon-based detector system (ND-GAr) for the Deep Underground Neutrino Experiment (DUNE) Near Detector.…
Snowmass Neutrino Frontier: DUNE Physics Summary
DUNE Collaboration, A. Abed Abud, B. Abi +1240
The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment with a primary physics goal of observing neutrino and antineutrin…
Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment
DUNE Collaboration, A. Abed Abud, B. Abi +1151
The Deep Underground Neutrino Experiment (DUNE) will produce world-leading neutrino oscillation measurements over the lifetime of the experiment. In this work, we explore DUNE's se…
Searching for solar KDAR with DUNE
DUNE Collaboration, A. Abed Abud, B. Abi +1174
The observation of 236 MeV muon neutrinos from kaon-decay-at-rest (KDAR) originating in the core of the Sun would provide a unique signature of dark matter annihilation. Since exce…