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ORCIDFlexNets@SIGCOMM 2021: Virtual Event, USA
- FlexNets '21: Proceedings of the 4th FlexNets Workshop on Flexible Networks Artificial Intelligence Supported Network Flexibility and Agility, Virtual Event, USA, 23 August 2021. ACM 2021, ISBN 978-1-4503-8634-0
- Raouf Boutaba, Nashid Shahriar
, Mohammad A. Salahuddin, Shihabur Rahman Chowdhury, Niloy Saha, Alexander James:
AI-driven Closed-loop Automation in 5G and beyond Mobile Networks. 1-6 - Bingzhe Liu, Kuan-Yen Chou, Pramod Jamkhedkar, Bilal Anwer, Rakesh K. Sinha, Kostas N. Oikonomou, Matthew Caesar, Brighten Godfrey:
Practical Automation for Management Planes of Service Provider Infrastructure. 7-13 - Aashish Gottipati, Alex Stewart, Jiawen Song, Qianlang Chen:
FedRAN: Federated Mobile Edge Computing with Differential Privacy. 14-19 - Selim Ickin:
Recommending Changes on QoE Factors with Conditional Variational AutoEncoder. 20-25 - Piotr Fröhlich, Erol Gelenbe, Mateusz Nowak:
Reinforcement Learning and Energy-Aware Routing. 26-31 - Boyang Zhou, Liang Cheng:
Mitigation of Scheduling Violations in Time-Sensitive Networking using Deep Deterministic Policy Gradient. 32-37 - Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Mohammed Kaosar:
Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks. 38-43 - Hannes Larsson, Hassam Riaz, Selim Ickin:
Automated Collaborator Selection for Federated Learning with Multi-armed Bandit Agents. 44-49 - Kevin Dugan, Maher Harb, Daniel Rice:
A Reinforcement Learning Framework for Optimizing Throughput in DOCSIS Networks. 50-55
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