Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications

1 code implementation • 2 Jul 2019 • Moming Duan, Duo Liu, Xianzhang Chen, Yujuan Tan, Jinting Ren, Lei Qiao, Liang Liang

However, unlike the common training dataset, the data distribution of the edge computing system is imbalanced which will introduce biases in the model training and cause a decrease in accuracy of federated learning applications.

Data Augmentation Edge-computing +2