NetSys 2023
International Conference on Networked Systems 2023
4-7 September 2023 – Potsdam, Germany
2nd Workshop on Machine Learning & Netwoking
Date: Monday, 4th of September, 2023
The 2nd edition of the Workshop on “Machine Learning & Networking (MaLeNe)” will be held in September 2023 at Hasso-Plattner-Institut as part of the NetSys conference in Potsdam. This workshop will also represent the 5th edition of the KuVS Fachgespräch “Machine Learning & Networking (MaLeNe)".
MaLeNe is a “Fachgespräch” dedicated to the interaction of machine learning and networking. Traditionally, in co-location with NetSys, we organize MaLeNe as a formal workshop to be able to publish proceedings of the presented works. You can find earlier editions of the Fachgespräch/Workshop here: 2020a, 2020b, 2021 (workshop), 2022.
Program
| 09:00 – 09:30 | Welcome |
| Workshop Organizers | |
| 09:30 – 11:30 | Session 1: Learning (5 + Keynote 1) |
| 1. Keynote 1: Embodied Agent-to-Agent Communications | |
| Nicola Michailow (Siemens) | |
| 2. Towards Benchmarking Power-Performance Characteristics of Federated Learning Clients | |
| Pratik Agrawal, Philipp Wiesner and Odej Kao (Technische Universität Berlin) | |
| 3. Demystifying User-based Active Learning for Network Monitoring Tasks | |
| Katharina Dietz, Nikolas Wehner (University of Würzburg), | |
| Pedro Casas (AIT Austrian Institute of Technology, Vienna), | |
| Tobias Hossfeld and Michael Seufert University of Würzburg) | |
| 4. Data distribution effects on asynchronous Parameter Server training in high delay differences networks | |
| Leonard Paeleke and Holger Karl (Hasso Plattner Institute) | |
| 5. Replicable Machine Learning Workflow for Energy Forecasting | |
| Stepan Gagin (University of Passau), Adrian Carrasco-Revilla (Inetum), | |
| Hermann de Meer (University of Passau) and Nuria Sánchez Almodóvar (Inetum) | |
| 11:30 – 12:30 | Lunch |
| 12:30 – 14:30 | Session 2: Wireless and TCP (5 + Keynote 2) |
| 1. Keynote 2: Towards an AI-Native Air Interface in 6G | |
| Andreas Maeder (Nokia) | |
| 2. Exploring AI-Based Adaptive Resource Management in 5G Networks | |
| Ole Hendrik Sellhorn and Horst Hellbrück (University of Applied Sciences, Lübeck) | |
| 3. Parameter Prioritization for Efficient Transmission of Neural Networks in Small Satellite Applications | |
| Olga Kondrateva (Humboldt-Universität zu Berlin), Stefan Dietzel (Merantix Momentum GmbH), | |
| Ansgar Lößer and Björn Scheuermann (Technical University of Darmstadt) | |
| 4. Bandwidth Prediction for Volatile Networks with Informer | |
| Birkan Denizer and Olaf Landsiedel (Kiel University) | |
| 5. Steps Toward a Supervised Machine Learning Scheduler for MPTCP | |
| Reza Poorzare, Hadi Asghari and Oliver P. Waldhorst (Karlsruhe University of Applied Science) | |
| 6. In-Network Round-Trip Time Estimation for TCP Flows | |
| Daniel Stolpmann and Andreas Timm-Giel (Hamburg University of Technology) | |
| 14:30 – 15:00 | Break |
| 15:00 – 17:00 | Session 3: Security and TSN (6) |
| 1. Reducing Memory Footprints in Purity Estimations of Volumetric DDoS Traffic Aggregates | |
| Hauke Heseding (Karlsruhe Institute of Technology), Timon Krack (KASTEL Security Research Labs) | |
| and Martina Zitterbart (Karlsruhe Institute of Technology) | |
| 2. Impact of Adaptive Packet Sampling on ML-based DDoS Detection | |
| Samuel Kopmann (KASTEL Security Research Labs) and Martina Zitterbart (Karlsruhe Institute of Technology) | |
| 3. Dynamic Network Intrusion Detection System in Software-Defined Networking | |
| Pegah Golchin, Jannis Weil, Ralf Kundel and Ralf Steinmetz (Technical University of Darmstadt) | |
| 4. PicNIC: Image-based Diagnosis for Industrial Blackbox Networks | |
| Marco Reisacher, Andreas Blenk and Hans-Peter Huth (Siemens AG) | |
| 5. Towards Synthesizing Datasets for IEEE 802.1 Time-sensitive Networking | |
| Doğanalp Ergenç, Nurefşan Sertbaş Bülbül (University of Hamburg), | |
| Lisa Maile, Anna Arestova (University of Erlangen-Nürnberg) and Mathias Fischer (University of Hamburg) | |
| 6. Adapting to the Flow: Reinforcement Learning for Dynamic Priority Assignment in TSN | |
| Nurefşan Sertbaş Bülbül and Mathias Fischer (University of Hamburg, Germany) | |
| 17:00 – 17:15 | Closing Remarks and Best Presentation Award (sponsored by Siemens AG) |
| Workshop Organizers | |
The organizers would like to thank Siemens AG, for supporting this instance of the Malene Workshop series by sponsoring the Best Presentation Award.
Best Presentation Award
- In-Network Round-Trip Time Estimation for TCP Flows
- Daniel Stolpmann and Andreas Timm-Giel (Hamburg University of Technology)
Organizers
- Andreas Blenk, Siemens AG
- Olaf Landsiedel, Uni Kiel
- Michael Seufert, Uni Würzburg