Technology, Artificial Intelligence, Machine Learning, Data Science, Deep Learning.
algorithm to compute saddle points of the regularized Lagrangian. This algorithm partitions problems into blocks, which are either scalars or sub-vectors of the primal or dual decision variables, and it is shown to tolerate asynchrony in the computations and communications of primal and dual