Two Decentralized Conjugate Gradient Methods with Global Convergence
Two Decentralized Conjugate Gradient Methods with Global Convergence
This paper considers the decentralized optimization problem of minimizing a finite sum of continuously differentiable functions over a fixed-connected undirected network. Summarizing the lack of previously developed decentralized conjugate gradient methods, we propose two decentralized conjugate gradient method, called NDCG and DMBFGS respectively. Firstly, the best of our knowledge, NDCG …