09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
›9:00 (1h)
9:00 - 10:00 (1h)
Keynote 2 - Catuscia Palamidessi
›10:00 (1h)
10:00 - 11:00 (1h)
Session
Edwige Cyffers
› Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond
- Kangsoo Jung, INRIA
10:00-10:20 (20min)
› An accurate, scalable and verifiable protocol for federated differentially private averaging
- César Sabater, INSA Lyon
10:20-10:40 (20min)
› Going beyond free-riding, or how to steal the accuracy gain of Federated Learning
- Hugo Dabadie, Inria-Insa Lyon
10:40-11:00 (20min)
›11:00 (30min)
11:00 - 11:30 (30min)
Pause
›11:30 (1h)
11:30 - 12:30 (1h)
Session
Kangsoo Jung
› Data Distribution Impact on Preserving Privacy in Centralized and Decentralized Learning
- Faiza LOUKIL, Université Savoie Mont Blanc, LISTIC, F- 74944 Annecy-le-Vieux, France
11:30-11:50 (20min)
› Privacy Attacks in Decentralized Learning
- Edwige Cyffers, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
11:50-12:10 (20min)
› The Impact of the Communication Strategy on the Privacy of Decentralized Learning
- Jezekael Brunon, INSA Lyon - Yacine Belal, INSA Lyon
12:10-12:30 (20min)
›12:30 (1h)
12:30 - 13:30 (1h)
Déjeuner
›14:15 (2h45)
14:15 - 17:00 (2h45)
Social Event
On se retrouve à la placette devant la réception (à côté de la terrasse du bar).
