AAAI Conference 2024 Short Paper
Adapted Weighted Aggregation in Federated Learning
- Yitong Tang
This study introduces FedAW, a novel federated learning algorithm that uses a weighted aggregation mechanism sensitive to the quality of client datasets, leading to better model performance and faster convergence on diverse datasets, validated using Colored MNIST.