This work considers a high-dimensional decentralized optimization problem where computing the full gradient is prohibitively expensive. This is a common issue in Partial Difference Equation ...

This paper proposes two accelerated gradient descent algorithms for systems with missing input data with the aim at achieving fast convergence rates. Based on the inverse auxiliary model, the missing ...