SecVM trains a Support Vector Machine (SVM) classifier in a federated setting where the central server is considered untrusted. User data is kept local and only encrypted gradient updates are sent to the server, using secret-sharing and homomorphic-encryption-inspired techniques to prevent the server from learning individual data points or their labels.
This page was last edited on 2024-04-16.
This page was last edited on 2024-04-16.