The Nós Project: Opening routes for the Galician language in the field of language technologies

no code implementations • TDLE (LREC) 2022 • Iria de-Dios-Flores, Carmen Magariños, Adina Ioana Vladu, John E. Ortega, José Ramom Pichel, Marcos García, Pablo Gamallo, Elisa Fernández Rei, Alberto Bugarín-Diz, Manuel González González, Senén Barro, Xosé Luis Regueira

The development of language technologies (LTs) such as machine translation, text analytics, and dialogue systems is essential in the current digital society, culture and economy.

Cultural Vocal Bursts Intensity Prediction Machine Translation +1

Non-IID data and Continual Learning processes in Federated Learning: A long road ahead

no code implementations • 26 Nov 2021 • Marcos F. Criado, Fernando E. Casado, Roberto Iglesias, Carlos V. Regueiro, Senén Barro

Federated Learning is a novel framework that allows multiple devices or institutions to train a machine learning model collaboratively while preserving their data private.

BIG-bench Machine Learning Continual Learning +1

Concept drift detection and adaptation for federated and continual learning

no code implementations • 27 May 2021 • Fernando E. Casado, Dylan Lema, Marcos F. Criado, Roberto Iglesias, Carlos V. Regueiro, Senén Barro

Smart devices, such as smartphones, wearables, robots, and others, can collect vast amounts of data from their environment.

Continual Learning Federated Learning

Federated and continual learning for classification tasks in a society of devices

no code implementations • 12 Jun 2020 • Fernando E. Casado, Dylan Lema, Roberto Iglesias, Carlos V. Regueiro, Senén Barro

Federated learning is a popular framework that allows multiple distributed devices to train models remotely, collaboratively, and preserving data privacy.

Continual Learning Federated Learning +1