Ons Aouedi

Comput. Networks, 2025

Towards Scalable O-RAN Resource Management: Graph-Augmented Proximal Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Symposium on Network Computing and Application, 2025

FLAIR: Federated Learning with Adaptive and Intelligent Reasoning for Client Selection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Modeling, 2025

GAIA-FL: Generative AI-Augmented Federated Learning for Intrusion Detection System.

[BibT_eX]

[DOI]

Alexandre Boissel

Proceedings of the International Wireless Communications and Mobile Computing, 2025

Hybrid Model-Aided Learning for 5G-NTN Handover in High-Mobility Platforms.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2025, 2025

TUNE-FL: Adaptive Semi-Synchronous Semi-Decentralized Federated Learning.

[BibT_eX]

[DOI]

Houssem Jmal

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

2024

Toward a Scalable and Energy-Efficient Framework for Industrial Cloud-Edge-IoT Continuum.

[BibT_eX]

[DOI]

IEEE Internet Things Mag., September, 2024

Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges.

[BibT_eX]

[DOI]

IEEE Open J. Commun. Soc., 2024

FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Symposium on Personal, 2024

METALS : seMi-supervised fEderaTed Active Learning for intrusion detection Systems.

[BibT_eX]

[DOI]

Gautam Jajoo

Proceedings of the IEEE Symposium on Computers and Communications, 2024

SURFS: Sustainable IntrUsion Detection with HieraRchical Federated Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

2023

Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, February, 2023

F-BIDS: Federated-Blending based Intrusion Detection System.

[BibT_eX]

[DOI]

Pervasive Mob. Comput., February, 2023

Federated Semisupervised Learning for Attack Detection in Industrial Internet of Things.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2023

Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities.

[BibT_eX]

[DOI]

Future Internet, 2023

HFedSNN: Efficient Hierarchical Federated Learning using Spiking Neural Networks.

[BibT_eX]

[DOI]

Mario Südholt

Proceedings of the Int'l ACM Symposium on Mobility Management and Wireless Access, 2023

2022

Ensemble-Based Deep Learning Model for Network Traffic Classification.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., December, 2022

Machine Learning-Enabled Network Traffic Analysis. (Analyse du trafic réseau basée sur l'apprentissage automatique).

[BibT_eX]

[DOI]

Praveen Kumar Reddy Maddikunta

PhD thesis, 2022

Incentive techniques for the Internet of Things: A survey.

[BibT_eX]

[DOI]

Thippa Reddy Gadekallu

J. Netw. Comput. Appl., 2022

Intelligent Traffic Management in Next-Generation Networks.

[BibT_eX]

[DOI]

Praveen Kumar Reddy Maddikunta

Future Internet, 2022

Federated Learning for intrusion detection system: Concepts, challenges and future directions.

[BibT_eX]

[DOI]

Thippa Reddy Gadekallu

Comput. Commun., 2022

Handling partially labeled network data: A semi-supervised approach using stacked sparse autoencoder.

[BibT_eX]

[DOI]

Dhruvjyoti Bagadthey

Comput. Networks, 2022

Network traffic analysis using machine learning: an unsupervised approach to understand and slice your network.

[BibT_eX]

[DOI]

Menuka Perera Jayasuriya Kuranage

Salima Hamma

Ann. des Télécommunications, 2022

Decision tree-based blending method using deep-learning for network management.

[BibT_eX]

[DOI]

Praveen Kumar Reddy Maddikunta

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

Intrusion detection for Softwarized Networks with Semi-supervised Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

FLUIDS: Federated Learning with semi-supervised approach for Intrusion Detection System.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021

Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions.

[BibT_eX]

[DOI]

Thippa Reddy Gadekallu

CoRR, 2021

Performance evaluation of feature selection and tree-based algorithms for traffic classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020

A Semi-supervised Stacked Autoencoder Approach for Network Traffic Classification.

[BibT_eX]

[DOI]

Dhruvjyoti Bagadthey

Proceedings of the 28th IEEE International Conference on Network Protocols, 2020

2018

An Ensemble of Deep Auto-Encoders for Healthcare Monitoring.

[BibT_eX]

[DOI]