2 papers
cs.NE2022
Optimising Communication Overhead in Federated Learning Using NSGA-II
José Ángel Morell, Zakaria Abdelmoiz Dahi, Francisco Chicano +2
Federated learning is a training paradigm according to which a server-based model is cooperatively trained using local models running on edge devices and ensuring data privacy. The…
cs.DC2019
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training
José Á. Morell, Andrés Camero, Enrique Alba
In 2019, around 57\% of the population of the world has broadband access to the Internet. Moreover, there are 5.9 billion mobile broadband subscriptions, i.e., 1.3 subscriptions pe…