A fixed-point implementation of explicit MPC laws. - Moritz Schulze Darup; Adrian Redder; Daniel E. Quevedo (ACC, 2018)

On the Use of Artificial Noise for Secure State Estimation in the Presence of Eavesdroppers. - Alex S. Leong; Adrian Redder; Daniel E. Quevedo; Subhrakanti Dey (ECC, 2018)

Towards Encrypted MPC for Linear Constrained Systems. - Moritz Schulze Darup; Adrian Redder; Iman Shames; Farhad Farokhi; Daniel E. Quevedo (IEEE Control. Syst. Lett., 2018)

Deep reinforcement learning for scheduling in large-scale networked control systems. - Adrian Redder; Arunselvan Ramaswamy; Daniel E. Quevedo (CoRR, 2019)

Encrypted Cooperative Control Based on Structured Feedback. - Moritz Schulze Darup; Adrian Redder; Daniel E. Quevedo (IEEE Control. Syst. Lett., 2019)

Practical sufficient conditions for convergence of distributed optimisation algorithms over communication networks with interference. - Adrian Redder; Arunselvan Ramaswamy; Holger Karl (CoRR, 2021)

Age of Information Process under Strongly Mixing Communication - Moment Bound, Mixing Rate and Strong Law. - Adrian Redder; Arunselvan Ramaswamy; Holger Karl (Allerton, 2022)

Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication. - Adrian Redder; Arunselvan Ramaswamy; Holger Karl (ICAART (1), 2022)

Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms. - Adrian Redder; Arunselvan Ramaswamy; Holger Karl (CoRR, 2022)

Distributed gradient-based optimization in the presence of dependent aperiodic communication. - Adrian Redder; Arunselvan Ramaswamy; Holger Karl (CoRR, 2022)

Optimization Over Time-Varying Networks and Unbounded Information Delays. - Arunselvan Ramaswamy; Adrian Redder; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2022)

Stability and Convergence of Distributed Stochastic Approximations with large Unbounded Stochastic Information Delays. - Adrian Redder; Arunselvan Ramaswamy; Holger Karl (CoRR, 2023)

Machine Learning With Computer Networks: Techniques, Datasets, and Models. - Haitham Afifi; Sabrina Pochaba; Andreas Boltres; Dominic Laniewski; Janek Haberer; Leonard Paeleke; Reza Poorzare; Daniel Stolpmann; Nikolas Wehner; Adrian Redder; Eric Samikwa; Michael Seufert (IEEE Access, 2024)

Distributed asynchronous stochastic approximation algorithms with unbounded stochastic information delays - theory and applications (Verteilte asynchrone stochastische Approximationsalgorithmen mit unbeschränkten stochastischen Informationsdelays - Theorie und Anwendungen) - Adrian Redder (2024)