Jernej Hribar

Orcid: 0000-0002-9446-7917

According to our database1, Jernej Hribar authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Visibility Graph-Based Wireless Anomaly Detection for Digital Twin Edge Networks.
IEEE Open J. Commun. Soc., 2024

Digital transformation with a lightweight on-premise PaaS.
Future Gener. Comput. Syst., 2024

The Energy Cost of Artificial Intelligence of Things Lifecycle.
CoRR, 2024

FedSBS: Federated-Learning participant-selection method for Intrusion Detection Systems.
Comput. Networks, 2024

2023
A Survey on Securing Federated Learning: Analysis of Applications, Attacks, Challenges, and Trends.
IEEE Access, 2023

Smart Home Energy Cost Minimisation Using Energy Trading with Deep Reinforcement Learning.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement Learning.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022
Energy-Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space.
IEEE Internet Things J., 2022

Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs.
CoRR, 2022

Timely and sustainable: Utilising correlation in status updates of battery-powered and energy-harvesting sensors using Deep Reinforcement Learning.
Comput. Commun., 2022

Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

2021
SMART: Situationally-Aware Multi-Agent Reinforcement Learning-Based Transmissions.
IEEE Trans. Cogn. Commun. Netw., 2021

Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Resource Reservation within Sliced 5G Networks: A Cost-Reduction Strategy for Service Providers.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019
Using Correlated Information to Extend Device Lifetime.
IEEE Internet Things J., 2019

Utilising Correlated Information to Improve the Sustainability of Internet of Things Devices.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Using Deep Q-Learning to Prolong the Lifetime of Correlated Internet of Things Devices.
Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019

2017
Updating Strategies in the Internet of Things by Taking Advantage of Correlated Sources.
Proceedings of the 2017 IEEE Global Communications Conference, 2017


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