Huikang Liu

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part II

2022 · arXiv (Cornell University)

In Part I of this work, we have proposed a general framework of decentralized stochastic quasi-Newton methods, which converge linearly to the optimal solution under the assumption that the local Hessian inverse approximations have bounded …