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pro vyhledávání: '"Dasu, Vishnu Asutosh"'
Deduplication is a vital preprocessing step that enhances machine learning model performance and saves training time and energy. However, enhancing federated learning through deduplication poses challenges, especially regarding scalability and potent
Externí odkaz:
http://arxiv.org/abs/2407.08152
This paper investigates neuron dropout as a post-processing bias mitigation for deep neural networks (DNNs). Neural-driven software solutions are increasingly applied in socially critical domains with significant fairness implications. While neural n
Externí odkaz:
http://arxiv.org/abs/2407.04268
Federated learning (FL) has become a key component in various language modeling applications such as machine translation, next-word prediction, and medical record analysis. These applications are trained on datasets from many FL participants that oft
Externí odkaz:
http://arxiv.org/abs/2310.16152
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