🥹 We’re closing day 1️⃣ of the
#EEAI26 with
#SessionF01: Robust and Private Federated Learning 🚀
🔹 Francesco Diana (
@Inria, Université Côte d'Azur) examines verifiable gradient inversion attacks in federated learning.
🔹 Varesh Mishra (
@KU_Leuven) explores secure federated aggregation using encrypted model updates.
🔹 Philippe Massonet (
@CETIC ) address secure explainability at the far edge.
🔹 Dana Bezryma (Bezryma Group) presents OMPF-EDGE, applying privacy-preserving federated learning to personalised workout analysis on consumer iPhones.