Description: The ‘Local Model’ refers to an approach in training artificial intelligence (AI) models that focuses on a specific subset of data, allowing predictions to be more relevant and accurate for a particular context. This model is trained using data that is representative of a specific region or group, facilitating adaptation to the unique characteristics of that data. One of the main features of the local model is its ability to provide clearer and more understandable interpretations, aligning with the principles of explainable AI. By focusing on a limited dataset, the model can identify patterns and relationships that are more significant for the local context, thus improving the quality of predictions. Additionally, this approach is fundamental in federated learning, where multiple devices or entities collaborate to train a model without sharing sensitive data, preserving privacy and security. In summary, the local model is a powerful tool that allows AI systems to be more specific and relevant while promoting transparency and collaboration in machine learning.
