IEEE

Intelligent Attacks and Defense Methods in Federated Learning-Enabled Energy-Efficient Wireless Networks

Abstract: Federated learning (FL) is a promising technique for learning-based functions in wireless networks, thanks to its distributed implementation capability. On the other hand, distributed ...
IEEE

A Scalable Reinforcement Learning Framework for Wireless Sensor Networks: Spatiotemporal Cluster-Based Multi-Agent Reinforcement Learning

Abstract: Wireless Sensor Networks face significant scalability challenges when implementing Reinforcement Learning techniques for adaptive decision-making. Traditional approaches utilizing either ...