Jernej Hribar

According to our database, Jernej Hribar authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Hélio N. Cunha Neto, Jernej Hribar, Ivana Dusparic, Diogo Menezes Ferrazani Mattos, Natalia Castro Fernandes

IEEE Access, 2023

Smart Home Energy Cost Minimisation Using Energy Trading with Deep Reinforcement Learning.

Matic Pokorn, Mihael Mohorcic, Andrej Campa, Jernej Hribar

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.

Jernej Hribar, Luke Hackett, Ivana Dusparic

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.

Jernej Hribar, Andrei Marinescu, Alessandro Chiumento, Luiz A. DaSilva

IEEE Internet Things J., 2022

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

Francesc Wilhelmi, Jernej Hribar, Selim F. Yilmaz, Emre Ozfatura, Kerem Ozfatura, Ozlem Yildiz, Deniz Gündüz, Hao Chen, Xiaoying Ye, Lizhao You, Yulin Shao, Paolo Dini, Boris Bellalta

CoRR, 2022

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

Jernej Hribar, Luiz A. DaSilva, Sheng Zhou, Zhiyuan Jiang, Ivana Dusparic

Comput. Commun., 2022

Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network.

Jernej Hribar, Ivana Dusparic

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

2021

SMART: Situationally-Aware Multi-Agent Reinforcement Learning-Based Transmissions.

Zhiyuan Jiang, Yan Liu, Jernej Hribar, Luiz A. DaSilva, Sheng Zhou, Zhisheng Niu

IEEE Trans. Cogn. Commun. Netw., 2021

Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning.

Jernej Hribar, Ryoichi Shinkuma, George Iosifidis, Ivana Dusparic

Proceedings of the IEEE Global Communications Conference, 2021

2020

Resource Reservation within Sliced 5G Networks: A Cost-Reduction Strategy for Service Providers.

Jean-Baptiste Monteil, Jernej Hribar, Pieter Barnard, Yong Li, Luiz A. DaSilva

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019

Using Correlated Information to Extend Device Lifetime.

Jernej Hribar, Maice Costa, Nicholas J. Kaminski, Luiz A. DaSilva

IEEE Internet Things J., 2019

Utilising Correlated Information to Improve the Sustainability of Internet of Things Devices.

Jernej Hribar, Luiz A. DaSilva

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.

Jernej Hribar, Andrei Marinescu, George A. Ropokis, Luiz A. DaSilva

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.

Jernej Hribar, Maice Costa, Nicholas J. Kaminski, Luiz A. DaSilva

Proceedings of the 2017 IEEE Global Communications Conference, 2017