154 citations · 538 across the 74 of their papers we have counts for
5 papers · 1 filter
COMSPLIT: A Communication-Aware Split Learning Design for Heterogeneous IoT Platforms
Vukan Ninkovic, Dejan Vukobratovic, Dragisa Miskovic +1
The significance of distributed learning and inference algorithms in Internet of Things (IoT) network is growing since they flexibly distribute computation load between IoT devices…
Autonomous Self-Trained Channel State Prediction Method for mmWave Vehicular Communications
Abidemi Orimogunje, Vukan Ninkovic, Evariste Twahirwa +2
Establishing and maintaining 5G mmWave vehicular connectivity poses a significant challenge due to high user mobility that necessitates frequent triggering of beam switching proced…
Decoding Quantum LDPC Codes Using Graph Neural Networks
Vukan Ninkovic, Ognjen Kundacina, Dejan Vukobratovic +2
In this paper, we propose a novel decoding method for Quantum Low-Density Parity-Check (QLDPC) codes based on Graph Neural Networks (GNNs). Similar to the Belief Propagation (BP)-b…
Performance Analysis of UAV-Assisted RF-UOWC Systems
Tijana Devaja, Milica Petkovic, Marko Beko +1
This paper introduces a relay-assisted solution for downlink communications in a mixed system of Radio Frequency (RF) and Underwater Optical Wireless Communications (UOWC) technolo…
UAV-assisted Distributed Learning for Environmental Monitoring in Rural Environments
Vukan Ninkovic, Dejan Vukobratovic, Dragisa Miskovic
Distributed learning and inference algorithms have become indispensable for IoT systems, offering benefits such as workload alleviation, data privacy preservation, and reduced late…