About the challenge

Federated Learning is an evolving machine learning technique that allows several parties to collaboratively train Deep Neural Networks without sharing their data. The workshop will focus on the security and privacy of Federated Learning and how adversaries can be defeated that attempt to inject a backdoor into the resulting Deep Neural Network.

Plattform Lernende Systeme, Systems Security Lab and IBM Watson Center invite you to a common coding AI challenge in Munich. You’re a Bachelor’s or Master’s student or a young professional eager to learn more about AI and Machine Learning? Apply now for our coding challenge!

15th of February 2024
10:00 – 18:00
IBM Watson Center | Innovation Studio | Mies-van-der-Rohe-Straße 6 | 80807 Munich

Requirements: Besides basic programming skills in any imperative programming language, you only need to bring a passion for computer science and security aspects.


  • 10:00 – 10:30
  • Arrival and welcome to the coding challenge
    About Plattform Lernende Systeme, IBM and Systems Security Lab
  • 10:30 – 12:00
  • Introduction: Basics of Federated ML part I, presentation and start of the Challenge
  • 12:00 – 13:00
  • Break
  • 13:00 – 15:00
  • Hands-On-Session: Coding Challenges
  • 15:00 – 15:30
  • Coffee break
  • 15:30 – 17:30
  • Hands-On-Session: Coding Challenge and Basics of Federated ML part II
  • 17:30 – 18:00
  • Presentation: Coding Challenge winners


Erduana Wald

Ahmad-Reza Sadeghi

Andrea Martin