Browsing Information Resources by Author "Abeynanda, H."

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Convergence of Gradient Methods with Deterministic and Bounded Noise

Abeynanda, H.; Lanel, G. H. J. (2022)

In this paper, we analyse the effects of noise on the gradient methods for solving a convex unconstraint optimization problem. Assuming that the objective function is with Lipschitz continuous gradients, we analyse ...
On the Primal Feasibility in Dual Decomposition Methods Under Additive and Bounded Errors

Abeynanda, H.; Weeraddana, C.; Lanel, G. H. J.; Fischione, C. (IEEE, 2022)

With the unprecedented growth of signal processing and machine learning application domains, there has been a tremendous expansion of interest in distributed optimization methods to cope with the underlying large-scale ...

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