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On the Performance of Gradient Tracking with Local Updates
We study the decentralized optimization problem where a network of $n$ agents seeks to minimize the average of a set of heterogeneous non-convex cost functions distributedly.
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression
We study the acceleration of the Local Polynomial Interpolation-based Gradient Descent method (LPI-GD) recently proposed for the approximate solution of empirical risk minimization problems (ERM).
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