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

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

stat.CO2025

Fairmetrics: An R package for group fairness evaluation

Benjamin Smith, Jianhui Gao, Jessica Gronsbell

Fairness is a growing area of machine learning (ML) that focuses on ensuring models do not produce systematically biased outcomes for specific groups, particularly those defined by…

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…