Zahi discusses the complexities of maintaining data privacy while leveraging machine learning across multiple partners. He highlights the importance of differential privacy in preventing data leakage between competitors and ensuring fairness among partners. The conversation delves into the balance between maximizing model performance and protecting individual data contributions, emphasizing the need for innovative solutions that maintain confidentiality.
