Thieu Van Nguyen

Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW

Experimental results on heterogeneous MNIST and CIFAR-10 settings show that QEF-GT-AdamW consistently improves robustness and convergence performance over representative DecL baselines while achieving favorable accuracy-communication trade-offs under limited wireless resources.