Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Abstract: With the rapid development of the industrial Internet, the value of internal data is increasing. Federated learning, which can protect data privacy, is crucial in this context. However, it ...