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.DC2025
Auditable Shared Objects: From Registers to Synchronization Primitives
Hagit Attiya, Antonio Fernández Anta, Alessia Milani +2
Auditability allows to track operations performed on a shared object, recording who accessed which information. This gives data owners more control on their data. Initially studied…
cs.DC2025
Auditing without Leaks Despite Curiosity
Hagit Attiya, Antonio Fernández Anta, Alessia Milani +2
\textit{Auditing} data accesses helps preserve privacy and ensures accountability by allowing one to determine who accessed (potentially sensitive) information. A prior formal defi…