most citedAn Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy

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cs.LG2026

Cumulative Meta-Learning from Active Learning Queries for Robustness to Spurious Correlations

Kin Whye Chew, Jingxian Wang

Spurious correlations in real-world datasets cause machine learning models to rely on irrelevant patterns, undermining reliability, generalization, and fairness. Active learning of…

cs.LG2025★ 2 cited

An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy

Haotian Yang, Zhuoran Wang, Benson Chou +4

Federated Learning (FL) enables distributed ML model training on private user data at the global scale. Despite the potential of FL demonstrated in many domains, an in-depth view o…