A. Redder, A. Ramaswamy, and H. Karl, “Distributed gradient-based optimization in the presence of dependent  aperiodic communication,” arXiv:2201.11343. 2022.
LibreCat: /record/30790
arXiv: 2201.11343

A. Redder, A. Ramaswamy, and H. Karl, “Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms,” arXiv:2201.00570. 2022.
LibreCat: /record/30791
arXiv: 2201.00570

S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.
LibreCat: /record/33854

S. B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination. 2021.
LibreCat: /record/35889

S. Dräxler, M. Peuster, M. Illian, and H. Karl, Towards Predicting Resource Demands and Performance of Distributed Cloud Services. Wien, Darmstadt, 2018.
LibreCat: /record/2483

R. V. Rosa, C. E. Rothenberg, M. Peuster, and H. Karl, Methodology for VNF Benchmarking Automation. IETF.
LibreCat: /record/6485

S. Dräxler and H. Karl, “Specification of Complex Structures in Distributed Service Function Chaining Using a YANG Data Model,” CoRR. 2015.
LibreCat: /record/749

M. Dräxler and H. Karl, “Dynamic Backhaul Network Configuration in SDN-based Cloud RANs,” CoRR. 2015.
LibreCat: /record/750

S. Mehraghdam, M. Keller, and H. Karl, “Specifying and Placing Chains of Virtual Network Functions,” CoRR. 2014.
LibreCat: /record/766

P. Wette and H. Karl, “DCT<sup>2</sup>Gen: A Versatile TCP Traffic Generator for Data Centers,” CoRR. 2014.
LibreCat: /record/767