Jernej Hribar
Orcid: 0000-0002-9446-7917
According to our database1,
Jernej Hribar
authored at least 23 papers
between 2017 and 2025.
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Bibliography
2025
Multi-agent Reinforcement Learning-based In-place Scaling Engine for Edge-cloud Systems.
CoRR, July, 2025
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025
2024
IEEE Open J. Commun. Soc., 2024
Future Gener. Comput. Syst., 2024
FedSBS: Federated-Learning participant-selection method for Intrusion Detection Systems.
Comput. Networks, 2024
Proceedings of the 10th IEEE World Forum on Internet of Things, 2024
Towards the Standardization of Energy Efficiency Metrics of the AI Lifecycle in 6G and Beyond.
Proceedings of the IEEE Conference on Standards for Communications and Networking, 2024
Proceedings of the 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and 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
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
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