A Distributed Accelerated Algorithm Based on a Unified Momentum Method
摘要
We propose a distributed optimization method based on a unified momentum method combined with the heavy ball method and optimized gradient method. We first prove that the stochastic version of the unified momentum method converges, and then prove the convergence of proposed distributed accelerated algorithm. Numerical experiments show that our algorithm has better performance than other methods.