FedCGNM uses class-grouped normalized momentum to equalize gradients across imbalanced classes in FL with convergence analysis, plus FedHOO X-armed-bandit method for efficient resampling rate tuning.
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Class-Grouped Normalized Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning
FedCGNM uses class-grouped normalized momentum to equalize gradients across imbalanced classes in FL with convergence analysis, plus FedHOO X-armed-bandit method for efficient resampling rate tuning.