AWS Clean Rooms supports incremental and distributed training for custom modeling

AWS Clean Rooms has enhanced its machine learning capabilities with two new features for more efficient model training and analysis:

• Incremental training allows building upon existing model artifacts to create new models faster
• Distributed training enables training models across multiple compute instances simultaneously
• Helps data scientists collaborate and analyze data while maintaining dataset privacy
• Enables training and inference on custom ML models using collective datasets
• Provides privacy-enhancing controls to protect proprietary data and models

These improvements help organizations generate predictive insights more efficiently and securely by leveraging collaborative ML training without sharing raw data.