Privacy-Preserving Federated Learning via Fragmented Updates for Healthcare
Detall TFG
Josep DOMINGO FERRER
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Privacy-Preserving Federated Learning via Fragmented Updates for Healthcare
This Master's Thesis seeks to explore Fragmented Federated Learning (FFL), where participants swap updates at random to ensure the server does not have access to the originator of the updates.
09-ABR-2026
Privacy, GDPR-compliance, Federated Learning, Fragmented Updates
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Alumne assignat
| Nom | Cognoms | Data Assignació | Curs |
|---|---|---|---|
| Celius | Irambona | 01-SET-2025 | 2025-2026 |
Fitxers
| Fitxer | Tipus de Document | Descripció |
|---|---|---|
| Memoria_Irambona_Celius.pdf | Memòria | Report |
Tribunal
Despatx 251 - sala reunions DEIM
10-SET-2026 15:45
Marc SÁNCHEZ ARTIGAS
Aïda VALLS MATEU
David ISERN ALARCÓN
Alexandre VIEJO GALICIA