96 citations · 185 across the 5 of their papers we have counts for
5 papers
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado, Fernando E. Casado, Roberto Iglesias +2
Federated Learning is a novel framework that allows multiple devices or institutions to train a machine learning model collaboratively while preserving their data private. This dec…
Concept drift detection and adaptation for federated and continual learning
Fernando E. Casado, Dylan Lema, Marcos F. Criado +3
Smart devices, such as smartphones, wearables, robots, and others, can collect vast amounts of data from their environment. This data is suitable for training machine learning mode…
Federated and continual learning for classification tasks in a society of devices
Fernando E. Casado, Dylan Lema, Roberto Iglesias +2
Today we live in a context in which devices are increasingly interconnected and sensorized and are almost ubiquitous. Deep learning has become in recent years a popular way to extr…
Fuzzy Sets Across the Natural Language Generation Pipeline
A. Ramos-Soto, A. Bugarín, S. Barro
We explore the implications of using fuzzy techniques (mainly those commonly used in the linguistic description/summarization of data discipline) from a natural language generation…
Linguistic Descriptions for Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data
A. Ramos-Soto, A. Bugarín, S. Barro +1
We present in this paper an application which automatically generates textual short-term weather forecasts for every municipality in Galicia (NW Spain), using the real data provide…