Abstract
A study in which the Department of Information and Communications Engineering of the UAB participates presents a new framework for machine learning algorithms in a distributed fashion that increases the privacy guarantees of the clients. To this end, they propose the unification of the Particle Swarm Optimization algorithm with federated learning and differential privacy techniques.
| Translated title of the contribution | How can we guarantee privacy in federated learning algorithms? |
|---|---|
| Original language | Catalan |
| Pages (from-to) | 0001-2 |
| Number of pages | 2 |
| Journal | UAB Divulga |
| Publication status | Published - 2023 |