Machine Learning Journal Club: "Federated Learning" | Judith Sáinz-Pardo
Start date: 13/07/2022 11:00
End date: 13/07/2022 12:00
"In distributed machine learning the workload to train a model is split up and shared among multiple nodes in order to improve performance, increases accuracy, and scaling to larger input data sizes. We will talk of Federated Learning, Federated Learning vertical, horizontal, Gossip Learning among others".
La charla tendrá lugar el miércoles 13 de julio a las 11:00, en la sala Marie Curie y online a través de Zoom. 