Optimizing Deployment of Homomorphic Encryption and SQL using Reinforcement Learning

This research explores optimization strategies for the deployment of SQL and homomorphic encryption using reinforcement learning. Marginal gains are established and suggests greater inquiry into optimization techniques as a means of introducing more secure compute to production environments.