IEEE

Coalitional FL: Coalition Formation and Selection in Federated Learning With Heterogeneous Data

Abstract: The model accuracy achieved by federated learning (FL) depends significantly on devices’ data distributions. To improve the model accuracy of FL with heterogeneous data distributions on ...
IEEE

SecureFedPROM: A Zero-Trust Federated Learning Approach With Multi-Criteria Client Selection

Abstract: Federated Learning (FL) enables decentralized learning while preserving data privacy. However, ensuring security and optimizing resource utilization in FL remains challenging, particularly ...