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Liqiang Wu

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Open access Aug 2026

TriVer: a lightweight and client-verifiable secure aggregation with dropout tolerance for federated learning

It is proved that TriVer satisfies client data privacy, aggregation correctness, and aggregation-result non-forgeability in the Random Oracle Model under ECDLP hardness, HPRF pseudorandomness, and hash collision resistance, against a fully malicious server that may collude with a subset of aggregators and clients.

Guangye Zhu, Liqiang Wu, Weidong Du · 0 citations