Paper 2022/1073
Fixing Issues and Achieving Maliciously Secure Verifiable Aggregation in ``VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning''
Abstract
This work addresses the security flaw in the original VeriFL protocol and proposes a patched protocol. The patched protocol is secure against any static malicious adversary with a certain threshold and only introduces moderate modifications to the original protocol.
Note: The original VeriFL protocol is available at: https://doi.org/10.1109/TIFS.2020.3043139. This document is supplementary material to the original paper.
Metadata
- Available format(s)
-
PDF
- Category
- Cryptographic protocols
- Publication info
- Preprint.
- Keywords
- Secure AggregationVerifiable AggregationFederated Learning
- Contact author(s)
- xiaojie guo @ mail nankai edu cn
- History
- 2022-08-24: revised
- 2022-08-18: received
- See all versions
- Short URL
- https://ia.cr/2022/1073
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2022/1073,
author = {Xiaojie Guo},
title = {Fixing Issues and Achieving Maliciously Secure Verifiable Aggregation in ``{VeriFL}: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning''},
howpublished = {Cryptology {ePrint} Archive, Paper 2022/1073},
year = {2022},
url = {https://eprint.iacr.org/2022/1073}
}