federated learning

Graph Neural Networks for Diffusion and Aggregation in Wireless Federated Learning

User devices (UDs) with non-independent and identically distributed (non-IID) data will worsen accuracy performance of the global model in federated learning (FL). Therefore, the implementation of diffusion strategies in machine learning (ML) models can enhance the effectiveness of federated learning with non-IID data....

Stability-aware multi-objective federated learning via deep reinforcement learning: Client selection and resource optimization in dynamic edge networks

Anomaly detection method for satellite networks based on adaptive federated learning driven by deep reinforcement learning