3 papers
cs.DC2026
Privacy-Preserving Federated Averaging with Byzantine Aggregators in Asynchronous Networks
Antonella Del Pozzo, Achille Desreumaux, Mathieu Gestin +2
Federated Learning requires secure aggregation to prevent gradient leakage, yet existing protocols suffer from key limitations: they assume synchrony, require heavy peer-to-peer co…
cs.CR2025
Secret Quorums: Protecting Byzantine Protocols Against Adaptive Adversaries
Maxence Perion, Sara Tucci-Piergiovanni, Rida Bazzi
Modern committee-based payment protocols improve scalability by delegating critical operations to small subsets of participants, such as validator committees in blockchains or shar…
cs.CR2024
Adversary-Augmented Simulation to evaluate fairness on HyperLedger Fabric
Erwan Mahe, Rouwaida Abdallah, Sara Tucci-Piergiovanni +1
This paper presents a novel adversary model specifically tailored to distributed systems, aiming to assess the security of blockchain networks. Building upon concepts such as adver…