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Received April 13, 2022, accepted June 5, 2022, date of publication June 13, 2022, date of current version June 20, 2022. Digital Object Identifier 10.1109/ACCESS.2022.3182659Methods for Pruning Deep
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Start by identifying the variables to be pruned and the fairness constraints to be met.
02
Choose an appropriate pruning method based on the specific requirements of the application.
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Implement the chosen pruning method while ensuring that the coupling fairness is maintained.
04
Monitor the results and make necessary adjustments to achieve the desired level of coupling fairness and pruning.

Who needs coupling fairness and pruning?

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Coupling fairness and pruning are essential for developers and data scientists working on machine learning models.
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Organizations looking to ensure fairness and reduce bias in their algorithms also need coupling fairness and pruning techniques.
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Coupling fairness and pruning is a method used in computer programming to reduce dependency between modules.
Developers and software engineers are required to implement coupling fairness and pruning in their codebase.
Coupling fairness and pruning can be achieved by identifying interdependencies between modules and refactoring code to minimize them.
The purpose of coupling fairness and pruning is to improve code maintainability, readability, and flexibility.
Information on the modules, their dependencies, and the actions taken to reduce coupling must be reported in coupling fairness and pruning.
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