Project Details
Projekt
Towards Network Resilience via Collective Counterfactual Explanations and Interventions
Applicant
Professorin Dr.-Ing. Setareh Maghsudi
Subject Area
Communication Technology and Networks, High-Frequency Technology and Photonic Systems, Signal Processing and Machine Learning for Information Technology
Term
since 2025
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 565612447
The synergy between wireless communication, cyber-physical system design, and artificial intelligence enables the autonomous operation of modern networked systems. For such infrastructures that underpin several critical missions, the vitality of resiliency is evident and unquestionable. Nevertheless, the volatility of resources and the uncertainty in task arrival, render resiliency challenging to achieve. In this proposal, we focus on the resource- and/or workload allocation problem to boost the resilience of a mission-critical system of systems against such challenges. Our approaches for solutions lie at the intersection of machine learning, optimization, and multi-agent systems. We develop robust and efficient collective algorithmic recourse solutions and apply them to network resilience. We maintain a generic framework of resiliency via network adaptivity so that our proposal accommodates a variety of applications. We provide rigorous theoretical analysis concerning efficiency, scalability, and convergence. We also discuss the performance bounds.
DFG Programme
Priority Programmes
