arXiv (OAI Expanded)
open access
Class-wise Contribution Estimation via Logit Maximization for Federated Learning
Federated learning (FL) enables collaborative learning of computer vision models, where privacy and regulatory constraints prevent centralizing data across devices or organizations. However, practical FL deployments often exhibit severe class imbalance and label skew, causing standard aggregation pr
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