论文标题
在线多代理分散的拜占庭式梯度估计
Online Multi-Agent Decentralized Byzantine-robust Gradient Estimation
论文作者
论文摘要
在本文中，我们提出了一种迭代方案，用于分布与黑盒模型相关的梯度的分布式拜占庭式估计。我们的算法基于同时扰动，安全状态估计和两个时间尺度的随机近似值。我们还通过数值实验显示了算法的性能。
In this paper, we propose an iterative scheme for distributed Byzantineresilient estimation of a gradient associated with a black-box model. Our algorithm is based on simultaneous perturbation, secure state estimation and two-timescale stochastic approximations. We also show the performance of our algorithm through numerical experiments.
