most citedIBM Federated Learning: an Enterprise Framework White Paper V0.1

112 citations · 144 across the 4 of their papers we have counts for

collaborators

5 papers

astro-ph.CO2022

Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters

Euclid Collaboration, A. Fumagalli, A. Saro +191

Aims. We validate a semi-analytical model for the covariance of real-space 2-point correlation function of galaxy clusters. Methods. Using 1000 PINOCCHIO light cones mimicking the…

eess.IV20224 cited

Accurate super-resolution low-field brain MRI

Juan Eugenio Iglesias, Riana Schleicher, Sonia Laguna +7

The recent introduction of portable, low-field MRI (LF-MRI) into the clinical setting has the potential to transform neuroimaging. However, LF-MRI is limited by lower resolution an…

astro-ph.GA202012 cited

The kinematics of young and old stellar populations in nuclear rings of MUSE TIMER galaxies

D. Rosado-Belza, J. Falcón-Barroso, J. H. Knapen +12

Studying the stellar kinematics of galaxies is a key tool in the reconstruction of their evolution. However, the current measurements of the stellar kinematics are complicated by s…

cs.LG2020112 cited

IBM Federated Learning: an Enterprise Framework White Paper V0.1

Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas +21

Federated Learning (FL) is an approach to conduct machine learning without centralizing training data in a single place, for reasons of privacy, confidentiality or data volume. How…

cs.LG202016 cited

A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control

Supriyo Ghosh, Sean Laguna, Shiau Hong Lim +2

Air traffic control is an example of a highly challenging operational problem that is readily amenable to human expertise augmentation via decision support technologies. In this pa…