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Fairness in Multi-Objective Optimization by dayoladejo777 is a document available to read on EtoBox.

What is Fairness in Multi-Objective Optimization about?

This paper discusses fairness-aware multi-objective optimization (FMO) in machine learning, emphasizing its significance in addressing unfairness in decision-making processes. It explores the relationship between user preferences and fairness, presents case studies, and identifies challenges and opportunities in the field. The authors aim to enhance understanding and promote research in fairness-aware optimization by highlighting the importance of integrating fairness into multi-objective frameworks.

Author

dayoladejo777

Language

EN