1 citations · 1 across the 6 of their papers we have counts for
6 papers
Reinforcing Localization Credibility Through Convex Optimization
Slavisa Tomic, Marko Beko, Yakubu Tsado +2
This work proposes a novel approach to reinforce localization security in wireless networks in the presence of malicious nodes that are able to manipulate (spoof) radio measurement…
Voting Scheme to Strengthen Localization Security in Randomly Deployed Wireless Sensor Networks
Slavisa Tomic, Marko Beko, Dejan Vukobratovic +1
This work aspires to provide a trustworthy solution for target localization in adverse environments, where malicious nodes, capable of manipulating distance measurements (i.e., per…
A Closed-form Solution for Weight Optimization in Fully-connected Feed-forward Neural Networks
Slavisa Tomic, João Pedro Matos-Carvalho, Marko Beko
This work addresses weight optimization problem for fully-connected feed-forward neural networks. Unlike existing approaches that are based on back-propagation (BP) and chain rule…
Two-Tier UAV-based Low Power Wide Area Networks: A Testbed and Experimentation Study
Srdjan Sobot, Milan Lukic, Dusan Bortnik +4
In this paper, we propose, design, deploy and demonstrate a two-tier Low Power Wide Area Network (LP WAN) system based on Unmanned Aerial Vehicle (UAV) base stations suitable for d…
Towards Secure Localization in Randomly Deployed Wireless Networks
Marko Beko, Slavisa Tomic
Being able to accurately locate wireless devices, while guaranteeing high-level of security against spoofing attacks, benefits all participants in the localization chain (e.g., end…
Distributed Value Function Approximation for Collaborative Multi-Agent Reinforcement Learning
Milos S. Stankovic, Marko Beko, Srdjan S. Stankovic
In this paper we propose several novel distributed gradient-based temporal difference algorithms for multi-agent off-policy learning of linear approximation of the value function i…