2 papers
cs.LG2026
End-to-End Verifiable and Robust Federated Learning
Doryan Lesaignoux, Enrique Mármol Campos, Gabriele Spini +2
Federated learning enables multiple parties to train a shared model without centralizing raw data with the help of an aggregator, but introduces integrity risks once participants o…
cs.CR2026
bpK#: Delegatable Pseudonyms And Their Applications to National eID Systems
Stephan Krenn, Doryan Lesaignoux, Sebastian Ramacher
Electronic identities (eIDs) are crucial in an increasingly digitalized environment. Pseudonyms, as offered by Austria's governmental sector-specific personal identifiers (bPks), c…