IEEE

Reinforcement Learning using Physics Inspired Graph Convolutional Neural Networks

Abstract: In this work, we propose a physics inspired Graph Convolutional Neural Network (GCN)-Reinforcement Learning (RL) architecture to train online controllers policies for the optimal selection ...
IEEE

Detection of Malicious Clients in Federated Learning Using Graph Neural Network

Abstract: Federated Learning (FL) facilitates decentralized model training without the exchange of raw data, thereby guaranteeing privacy. However, due to its distributed nature, this paradigm is ...