IEEE

FEDORA: Federated Ensemble Reinforcement Learning for DAG-Based Task Offloading and Resource Allocation in MEC

Abstract: The increasing demand for compute intensive Internet of Things (IoT) applications has accelerated the adoption of multiaccess-edge computing (MEC) to offload tasks from resource constrained ...
IEEE

Adaptive Task Scheduling in Fog Computing Using Federated DQN and K-Means Clustering

Abstract: Task scheduling in distributed cloud and fog computing applications must be efficient to optimize resource utilization, minimize latency, and comply with strict service level agreements. The ...