On-The-Fly Compute Centers II: Execution of Composed Services in Configurable Compute Centers
H. Karl, M. Maack, F. Meyer auf der Heide, S. Pukrop, A. Redder, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 183–202.

Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law
A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 58th Allerton Conference on Communication, Control, and Computing, 2022.

Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication
A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 14th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2022.

Distributed gradient-based optimization in the presence of dependent  aperiodic communication
A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.11343 (2022).

Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms
A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.00570 (2022).

Practical Network Conditions for the Convergence of Distributed Optimization
A. Redder, A. Ramaswamy, H. Karl, IFAC-PapersOnLine 55 (2022) 133–138.

Distributed optimization over time-varying networks with stochastic information delays
A. Ramaswamy, A. Redder, D.E. Quevedo, IEEE Transactions on Automatic Control (2021) 1–1.

Deep reinforcement learning for scheduling in large-scale networked control systems
A. Redder, A. Ramaswamy, D. Quevedo, in: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.