FB-NLL: A Feature-Based Approach to Tackle Noisy Labels in Personalized Federated Learning

Researchers propose FB-NLL, a federated learning framework that improves personalization across distributed devices by clustering users through feature-space analysis rather than training dynamics, making the system more robust to corrupted data and mislabeled examples.

MentionsFB-NLL · Personalized Federated Learning

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