Security and privacy-preserving mechanisms in collaborative machine learning: A systematic review with novel taxonomy

This is a systematic review article that examines security and privacy-preserving mechanisms used in collaborative machine learning (where multiple organizations or parties train AI models together while protecting their sensitive data). The article organizes existing approaches into a novel taxonomy, helping researchers and practitioners understand different methods for keeping data secure during collaborative AI training.