Open access
Aug 2026
Resilient Edge-to-Cloud AI Architectures for Distributed Real-Time Decision Making
A research-driven conceptual framework for resilient edge-to-cloud AI architectures supporting distributed real-time decision making and identifies limitations associated with heterogeneous devices, uncertain ground truth, model drift, communication failures, and the absence of uniform evaluation criteria are identified.
Chinedu Eze, Fatima Bello
· International Journal of Adv... · 0 citations