NetSys 2023, International Conference on Networked Systems 2023

4-7 September 2023 – Potsdam, Germany

2nd Workshop "Machine Learning & Networking

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)".

What is a Fachgespräch?

Fachgespräche are a low-key version of workshops, organized (among others) by the Communication and Distributed Systems group of the Gesellschaft für Informatik. They foster community building by organizing meetings on topics of current interest, with a low entry barrier. Typical target audience are people in their later Master or early PhD phase, but of course everybody is welcome. Participants are invited to present early ideas, work in progress, or also talk about work that has already been published - we deliberately do NOT require original research at a Fachgespräch.

What is MaLeNe?

MaLeNe is one such 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.

What is special about the 2nd edition of the MaLeNe workshop?

This time, we target both directions: “AI/ML for networking” and “networking for AI/ML”.

Networking for AI/ML: how networking can assist artificial intelligence / machine learning systems and, in particular, distributed AI/ML systems. E.g., how to ensure that distributed training is provided with the right data and runs at the right place in a network, taking all kinds of resource requirements into account. The workshop also focuses on how techniques such as in data plane processing can accelerate AI/ML, the current evolution of SmartNICs, and which scientific problems still need to be solved to integrate such technology seamlessly into future communication infrastructures. This also includes considering low energy/low cost networking equipment assisted machine learning, as well as distributed and federated learning and inference approaches.

AI/ML for networking: addressing emerging concepts and challenges related to machine learning and artificial intelligence in networking. The workshop will aim to address opportunities where machine learning and artificial intelligence can bring benefits to networking in different facets, such as network monitoring, management, and security. Together with flexible and programmable networks, this paves the way towards a more proactive and autonomous network design and “self-driving” networks. The long-term vision is that configuration decisions can be made in real-time in an automated fashion before service and experience degradation occurs. The workshop will combine original paper presentations with a motivating keynote to thoroughly explore this challenging topic.

Procedure and Dates

  • Submit a paper: July 1st, 2023
  • Paper length: 2 pages (including references)
  • Template: Papers should be submitted in IEEE 2-column format
  • Accepted papers will be published open access through Würzburg University Press and indexed in search engines and digital library catalogs.
  • Submissions:
  • Acceptance decision: August 1st, 2023
  • Workshop: Monday, September 4th, 2023 at HPI, Potsdam, Germany


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