What is PaPM?

PaPM likely refers to Privacy-Preserving Machine Learning. This encompasses techniques that enable machine learning models to be trained and used on sensitive data without revealing the underlying data itself. Common methods include Federated Learning, Differential Privacy, Homomorphic Encryption, and Secure Multi-Party Computation. PaPM is used in healthcare, finance, and other domains where data privacy is paramount.