AI Fairness–From Machine Learning to Federated Learning
AI Fairness–From Machine Learning to Federated Learning is a scholarly work, published in 2024 in ''CMES Computer Modeling in Engineering and Sciences''. The main subjects of the publication include artificial intelligence, fairness in machine learning, ethics of artificial intelligence, differential privacy, federated learning, perspective, machine learning, computer science, and blockchain. The article reviews the theory of fairness in AI–from machine learning to federated learning, where the constraints on precision AI fairness and perspective solutions are also discussed.