Semi-supervised knowledge transfer for deep learning from private training data

This article likely discusses a research paper or development in the field of deep learning. The focus is on transferring knowledge learned from private training data using semi-supervised techniques. This suggests an interest in improving model performance while protecting the privacy of the data. The use of 'knowledge transfer' implies the reuse of learned information, potentially to improve efficiency or accuracy.

• •Focus on semi-supervised learning.
• •Addresses knowledge transfer.
• •Concerned with private training data and privacy.