134 citations · 553 across the 48 of their papers we have counts for
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Primal-dual methods for large-scale and distributed convex optimization and data analytics
Dusan Jakovetic, Dragana Bajovic, Joao Xavier +1
The augmented Lagrangian method (ALM) is a classical optimization tool that solves a given "difficult" (constrained) problem via finding solutions of a sequence of "easier"(often u…
Distributed Nesterov gradient methods over arbitrary graphs
Ran Xin, Dusan Jakovetic, Usman A. Khan
In this letter, we introduce a distributed Nesterov method, termed as , that does not require doubly-stochastic weight matrices. Instead, the implementation is based…
Exact Spectral-Like Gradient Method for Distributed Optimization
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Since the initial proposal in the late 80s, spectral gradient methods continue to receive significant attention, especially due to their excellent numerical performance on various…