AUG 7, 2026 · PREPRINT
FedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in Wireless Networks
arXiv
Simulation-based algorithmic study demonstrating improved federated learning convergence on benchmark datasets; lacks clinical validation, real-world deployment evidence, or comparison to state-of-the-art methods in applied settings.
Reported
Accuracy improvement on CIFAR-10…7.6%