Zhong-Chi Wang

D3em: A Dual-Layer Dynamic Debiasing Evaluation Mechanism for Client Contribution in Federated Learning

Accurate client contribution evaluation is critical for sustainable federated learning and incentive design, yet existing methods face a trade-off between trust, complexity, and robustness. We show that validation-free, similarity-based metrics can suffer from a federated noise coupling effect, where historical low-qua...