A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization

We propose a communication- and computation-efficient distributed optimization algorithm using second-order information for solving ERM problems with a nonsmooth regularization term. Current second-order and quasi-Newton methods for this problem either do not work well in the distributed setting or work only for specific regularizers... (read more)

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