Asha S

Predictive Latency-Aware Federated Deep Reinforcement Learning for Adaptive Task Scheduling in IoT-Enabled Fog Computing

The increasing deployment of latency-sensitive Internet of Things (IoT) applications has intensified the need for intelligent task scheduling mechanisms in fog computing environments. Conventional scheduling approaches, including heuristic and centralized machine learning techniques, often fail to adapt to dynamic work...