8 citations · 10 across the 4 of their papers we have counts for
4 papers
Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices
Romina Soledad Molina, Vukan Ninkovic, Dejan Vukobratovic +2
Split Learning (SL) recently emerged as an efficient paradigm for distributed Machine Learning (ML) suitable for the Internet Of Things (IoT)-Cloud systems. However, deploying SL o…
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…
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…
Rateless Autoencoder Codes: Trading off Decoding Delay and Reliability
Vukan Ninkovic, Dejan Vukobratovic, Christian Häger +2
Most of today's communication systems are designed to target reliable message recovery after receiving the entire encoded message (codeword). However, in many practical scenarios,…