Stochastically Enhanced Multi-Agent Federated Reinforcement Learning for Energy-Efficient and Quality-of-Service-Aware IoT Routing
This work addresses the challenges of energy efficiency and Quality of Service (QoS) in dynamic Internet of Things (IoT) networks, where traditional routing protocols fail to adapt to changing conditions. To overcome these limitations, a Stochastically Enhanced Multi-Agent Federated Reinforcement Learning (SE-MA-FRL) f...