Privacy

Federated learning enables multiple supply chain partners to collaboratively train AI models without sharing raw data, supporting privacy-preserving collaboration, demand forecasting, and risk analytics.

Machine unlearning addresses the challenge of selectively removing learned data from AI models, with growing importance for privacy and compliance in supply chain AI systems.