Novel and Emerging ML Techniques Questions

Stay current with recent advances: transfer learning and fine-tuning, meta-learning, few-shot learning, federated learning, continual learning, adversarial robustness. Understand their applications, benefits, and limitations. Be prepared to discuss how these could solve real problems.