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20092026
most citedCooperative Convex Optimization in Networked Systems: Augmented Lagrangian Algorithms with Directed Gossip Communication

134 citations · 553 across the 48 of their papers we have counts for

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cs.IT2026★ 1 cited

Tackling heavy-tailed noise in distributed estimation: Asymptotic performance and tradeoffs

Dragana Bajovic, Dusan Jakovetic, Soummya Kar +1

We present an algorithm for distributed estimation of an unknown vector parameter in the presence of heavy-tailed observation and communicatio…

cs.IT2017★ 2 cited

A Unification and Generalization of Exact Distributed First Order Methods

Dusan Jakovetic

Recently, there has been significant progress in the development of distributed first order methods. (At least) two different types of methods, designed from very different perspec…

cs.IT2017

Distributed second order methods with increasing number of working nodes

Natasa Krklec Jerinkic, Dusan Jakovetic, Natasa Krejic +1

Recently, an idling mechanism has been introduced in the context of distributed \emph{first order} methods for minimization of a sum of nodes' local convex costs over a generic, co…

cs.IT2017

Cooperative Slotted ALOHA for Massive M2M Random Access Using Directional Antennas

Aleksandar Mastilovic, Dejan Vukobratovic, Dusan Jakovetic +1

Slotted ALOHA (SA) algorithms with Successive Interference Cancellation (SIC) decoding have received significant attention lately due to their ability to dramatically increase the…

cs.IT2016★ 33 cited

CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT

Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek +5

In forthcoming years, the Internet of Things (IoT) will connect billions of smart devices generating and uploading a deluge of data to the cloud. If successfully extracted, the kno…

cs.IT2015

Newton-like method with diagonal correction for distributed optimization

Dragana Bajovic, Dusan Jakovetic, Natasa Krejic +1

We consider distributed optimization problems where networked nodes cooperatively minimize the sum of their locally known convex costs. A popular class of methods to solve these pr…