Alessio Sacco

Doriana Monaco

Okwudilichukwu Okafor

Gaetano Francesco Pittalà

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Latency-aware Scheduling in the Cloud-Edge Continuum.

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[DOI]

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Recovering Missing Monitoring Data to Enhance Service Provisioning in the Edge-to-Cloud Continuum.

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[DOI]

Proceedings of the 10th IEEE International Conference on Network Softwarization, 2024

2023

Completing and Predicting Internet Traffic Matrices Using Adversarial Autoencoders and Hidden Markov Models.

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[DOI]

IEEE Trans. Netw. Serv. Manag., September, 2023

Partially Oblivious Congestion Control for the Internet via Reinforcement Learning.

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[DOI]

IEEE Trans. Netw. Serv. Manag., June, 2023

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

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[DOI]

IEEE J. Biomed. Health Informatics, February, 2023

P4FL: An Architecture for Federating Learning With In-Network Processing.

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[DOI]

IEEE Access, 2023

Towards Autonomous Computer Networks in Support of Critical Systems.

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[DOI]

Proceedings of the NOMS 2023, 2023

RLVNA: a Platform for Experimenting with Virtual Networks Adaptations over Public Testbeds.

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[DOI]

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2023

A Collaborative and Distributed Learning-Based Solution to Autonomously Plan Computer Networks.

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[DOI]

Proceedings of the 26th Conference on Innovation in Clouds, Internet and Networks, 2023

HINT: Supporting Congestion Control Decisions with P4-driven In-Band Network Telemetry.

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[DOI]

Proceedings of the 24th IEEE International Conference on High Performance Switching and Routing, 2023

Hide & Seek: Traffic Matrix Completion and Inference Using Hidden Information.

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[DOI]

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

A Self-Learning Strategy for Task Offloading in UAV Networks.

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[DOI]

IEEE Trans. Veh. Technol., 2022

Restoring Application Traffic of Latency-Sensitive Networked Systems Using Adversarial Autoencoders.

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[DOI]

IEEE Trans. Netw. Serv. Manag., 2022

NLP4: An Architecture for Intent-Driven Data Plane Programmability.

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[DOI]

Proceedings of the 8th IEEE International Conference on Network Softwarization, 2022

Howdah: Load Profiling via In-Band Flow Classification and P4.

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[DOI]

Proceedings of the 18th International Conference on Network and Service Management, 2022

2021

Sustainable Task Offloading in UAV Networks via Multi-Agent Reinforcement Learning.

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[DOI]

IEEE Trans. Veh. Technol., 2021

Supporting Sustainable Virtual Network Mutations With Mystique.

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[DOI]

IEEE Trans. Netw. Serv. Manag., 2021

Resource Inference for Sustainable and Responsive Task Offloading in Challenged Edge Networks.

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[DOI]

IEEE Trans. Green Commun. Netw., 2021

Owl: Congestion Control with Partially Invisible Networks via Reinforcement Learning.

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[DOI]

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

On Control and Data Plane Programmability for Data-Driven Networking.

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[DOI]

Proceedings of the 22nd IEEE International Conference on High Performance Switching and Routing, 2021

EdgeEcho: An Architecture for Echocardiology at the Edge.

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[DOI]

Proceedings of the 17th International Conference on Network and Service Management, 2021

2020

RoPE: An Architecture for Adaptive Data-Driven Routing Prediction at the Edge.

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[DOI]

IEEE Trans. Netw. Serv. Manag., 2020

On Edge Computing for Remote Pathology Consultations and Computations.

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[DOI]

IEEE J. Biomed. Health Informatics, 2020

An architecture for adaptive task planning in support of IoT-based machine learning applications for disaster scenarios.

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[DOI]

Comput. Commun., 2020

Work-in-Progress: A Formal Approach to Verify Fault Tolerance in Industrial Network Systems.

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[DOI]

Proceedings of the 16th IEEE International Conference on Factory Communication Systems, 2020

A Federated Learning Approach to Routing in Challenged SDN-Enabled Edge Networks.

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[DOI]

Proceedings of the 6th IEEE Conference on Network Softwarization, 2020

A distributed reinforcement learning approach for energy and congestion-aware edge networks.

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[DOI]

Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

Resource Inference for Task Migration in Challenged Edge Networks with RITMO.

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[DOI]