Welcome to the resource topic for 2022/1073
Title:
Fixing Issues and Achieving Maliciously Secure Verifiable Aggregation in ``VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning’’
Authors: Xiaojie Guo
Abstract:This work addresses the security flaw in the original VeriFL protocol and proposes a patched protocol that is secure against any static malicious adversary with a certain threshold and only introduces moderate modifications to the original protocol.
ePrint: https://eprint.iacr.org/2022/1073
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