VeilFL: Two-Stage Accountability for Anonymous Federated Learning

Reported by arXiv cs.CR (Varesh Mishra, Aysajan Abidin, Bart Preneel)

Summary by Cyber Security News3 Nov 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2611.01082

arXiv:2611.01082v1 Announce Type: new Abstract: Anonymous credentials can hide which registered client participates in federated learning, but their unlinkability also makes repeated misconduct difficult to associate. We present VeilFL, a two-aggregator protocol that adds staged accountability to PINE (USENIX Security '24). Each submission binds two private PINE messages, a round-specific pseudonym, and a tracing pair to the same hidden credential secret.

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