Federated learning with hierarchical clustering of local updates to improve training on non-IID data
Client-Edge-Cloud Hierarchical Federated Learning
A Comprehensive Introduction to Label Noise
Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing
Overcoming Noisy and Irrelevant Data in Federated Learning
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
Reliable Federated Learning for Mobile Networks
Active Federated Learning
Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching