Enguix Andrés, Francisco(Universitat Politècnica de València, 2023-09-20)
[ES] Una de las últimas grandes evoluciones en el aprendizaje distribuido ha sido el desarrollo del aprendizaje federado. Este tipo de aprendizaje se ha llevado a la práctica con éxito utilizando, entre otros, sistemas ...
[EN] Deep learning-based algorithms have led to tremendous progress over the last years, but they face a bottleneck as their optimal development highly relies on access to large datasets. To mitigate this limitation, ...
[EN] In recent years federated learning has emerged as a new paradigm for training machine learning models oriented to distributed systems. The main idea is that each node of a distributed system independently trains a ...