• ML-based Traffic Engineering for Wide-Area-Networks
  • Application of Supervised Learning and Reinforcement Learning to Traffic Engineering
  • Distributed ML-based Traffic Engineering approaches
• Collective Communications for ML Training Traffic
  • Application of Traffic Engineering mechanisms to improve traffic generated by ML training
  • Improving utilization and training speed of distributed GPU clusters

KiKIT - The Helmholtz Pilot Program Core-Informatics at KIT