Distributed Optimization Under Uncertainty: A Cross-Paradigm Review and Future Directions
Key findings include the widespread adaptation of classical algorithms, particularly the alternating direction method of multipliers (ADMM), across all uncertainty paradigms, alongside an evolution toward data-driven and adaptive methods for real-time uncertainty handling.
Ineza Remy Mugenga, Abebe Geletu, S. Mirau et al.
· Mathematics · 0 citations