Karl, Holger, Marten Maack, Friedhelm Meyer auf der Heide, Simon Pukrop, and Adrian Redder. “On-The-Fly Compute Centers II: Execution of Composed Services in Configurable Compute Centers.”https://doi.org/10.5281/zenodo.8068664__In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:183–202. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.5281/zenodo.8068664 .
LibreCat: /record/45895
DOI: 10.5281/zenodo.8068664

Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law.” In Proceedings of the 58th Allerton Conference on Communication, Control, and Computing, 2022.
LibreCat: /record/32811

Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Multi-Agent Policy Gradient Algorithms for Cyber-Physical Systems with Lossy Communication.”https://doi.org/10.5220/0010845400003116__In Proceedings of the 14th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2022.https://doi.org/10.5220/0010845400003116 .
LibreCat: /record/30793
DOI: 10.5220/0010845400003116

Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Distributed Gradient-Based Optimization in the Presence of Dependent  Aperiodic Communication.” ArXiv:2201.11343, 2022.
LibreCat: /record/30790
arXiv: 2201.11343

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

Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Practical Network Conditions for the Convergence of Distributed Optimization.” IFAC-PapersOnLine 55, no. 13 (2022): 133–138.
LibreCat: /record/32854

Ramaswamy, Arunselvan, Adrian Redder, and Daniel E. Quevedo. “Distributed Optimization over Time-Varying Networks with Stochastic Information Delays.”https://doi.org/10.1109/TAC.2021.3108492__IEEE Transactions on Automatic Control, 2021, 1–1.https://doi.org/10.1109/TAC.2021.3108492 .
LibreCat: /record/24140
DOI: 10.1109/TAC.2021.3108492

Redder, Adrian, Arunselvan Ramaswamy, and Daniel Quevedo. “Deep Reinforcement Learning for Scheduling in Large-Scale Networked Control Systems.” In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.
LibreCat: /record/13443