English

Phocas: dimensional Byzantine-resilient stochastic gradient descent

Distributed, Parallel, and Cluster Computing 2018-05-25 v1 Machine Learning

Abstract

We propose a novel robust aggregation rule for distributed synchronous Stochastic Gradient Descent~(SGD) under a general Byzantine failure model. The attackers can arbitrarily manipulate the data transferred between the servers and the workers in the parameter server~(PS) architecture. We prove the Byzantine resilience of the proposed aggregation rules. Empirical analysis shows that the proposed techniques outperform current approaches for realistic use cases and Byzantine attack scenarios.

Keywords

Cite

@article{arxiv.1805.09682,
  title  = {Phocas: dimensional Byzantine-resilient stochastic gradient descent},
  author = {Cong Xie and Oluwasanmi Koyejo and Indranil Gupta},
  journal= {arXiv preprint arXiv:1805.09682},
  year   = {2018}
}

Comments

Submitted to NIPS 2018. arXiv admin note: substantial text overlap with arXiv:1802.10116

R2 v1 2026-06-23T02:07:13.252Z