• de
Prof. Dr. Holger Karl

3rd KuVS Fachgespräch "Machine Learning & Networking" - POSTPONED

 New Date: October 6 & 7, 2022! 

Welcome to the 3rd edition of the KuVS Fachgespräch "Machine Learning & Networking (Malene)", October 6 & 7, 2022, at Hasso-Plattner-Institut in Potsdam. It is jointly supported by GI and ITG/VDE. 

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 organising 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. For PhD students new to the field of machine learning and networks, please also have a look at the summer school on  AI in Networking Summer School

What is Malene? 

Malene is one such Fachgespräch, dedicated to the interaction of machine learning and networking. You can find earlier editions here: 2020a2020b, 2021 (co-located with NetSys conference).   

What is special about the 3rd edition of Malene? 

This time, we want to focus the discussion on how networking can assist machine learning systems and, in particular, distributed 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. 

Procedure and Dates 

  • Submit a topic proposal: August 31, 2022
    • 1-2 pages of PDF describing the topic and the form of presentation that you have in mind (e.g, talk, poster, demo) 
    • There will be NO proceedings, so there is no need for a formal submission process
    • Send PDF by email to Holger Karl 
  • Acceptance decision: September 15 
  • Fachgespräch: Thursday/Friday October 6&7, 2022 at HPI, Potsdam, Germany
    • Hopefully, in person! 


  • Andreas Blenk, TU Munich 
  • Holger Karl, HPI 
  • Olaf Landsiedel, Uni Kiel 
  • Stefan Schneider, Uni Paderborn 
  • Michael Seufert, Uni Würzburg