FedBB addresses inter-case, inter-class, and inter-client imbalances in federated learning via Positive Negative Balanced loss and Client Balanced Reweighting, outperforming baselines on X-ray and natural image datasets while using limited statistics for privacy.
On bridging generic and personalized federated learn- ing for image classification.arXiv preprint arXiv:2107.00778, 2021
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Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning
FedBB addresses inter-case, inter-class, and inter-client imbalances in federated learning via Positive Negative Balanced loss and Client Balanced Reweighting, outperforming baselines on X-ray and natural image datasets while using limited statistics for privacy.