To defend the Byzantine attacks, we propose two efficient algorithms: FABA, a Fast Aggregation algorithm against Byzantine Attacks, and VBOR, a Variance Based Outlier Removal algorithm.
Defenses Against Byzantine Attacks in Distributed Deep Neural Networks
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Oct 30, 2020 · To defend the Byzantine attacks, we propose two efficient algorithms: FABA, a Fast Aggregation algorithm against Byzantine Attacks, and VBOR, a ...
This work proposes two efficient algorithms: FABA, a Fast Aggregation algorithm against Byzantine Attacks, and VBOR, a Variance Based Outlier Removal ...
Oct 22, 2024 · To defend the Byzantine attacks, we propose two efficient algorithms: FABA, a Fast Aggregation algorithm against Byzantine Attacks, and VBOR, a ...
Sep 10, 2024 · This paper studies the resilience of an attack-agnostic FL scenario, where the server lacks prior knowledge of both the attackers' strategies ...
To defend the Byzantine attacks, we propose two efficient algorithms: FABA, a Fast Aggregation algorithm against Byzantine Attacks, and VBOR, a Variance Based ...
The experimental results demonstrate that RFVIR can successfully defend against various Byzantine attacks and outperform the existing robust algorithms.
Basically, there are four directions to defend against Byzantine attacks: score-based, median-based, and distance-based, reference dataset-based al- gorithms.
Aug 7, 2023 · FABA: An Algorithm for. Fast Aggregation against Byzantine Attacks in Distributed Neural Networks. In Proceedings of the 28th International ...
Oct 30, 2024 · Our approach addresses this vulnerability by implementing robust aggregation methods, sophisticated pre-processing techniques, and a novel Byzantine grade- ...