Quantized Distributed Gradient Tracking Algorithm With Linear Convergence in Directed Networks
Quantized Distributed Gradient Tracking Algorithm With Linear Convergence in Directed Networks
Communication efficiency is a major bottleneck in the applications of distributed networks. To address the problem, the problem of quantized distributed optimization has attracted a lot of attention. However, most of the existing quantized distributed optimization algorithms can only converge sublinearly. To achieve linear convergence, this article proposes a novel …