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.


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)



  • Andreas Blenk, Siemens AG
  • Olaf Landsiedel, Uni Kiel
  • Michael Seufert, Uni Würzburg


Workshop Chair