Scaling Homomorphic Applications in Deployment
This work addresses deployment challenges for homomorphic encryption applications, but it is incremental as it focuses on tuning existing methods rather than introducing new paradigms.
The authors tackled the computational limitations of Fully Homomorphic Encryption (FHE) in production by developing a proof-of-concept movie recommendation app, using containerization and orchestration to mitigate these issues through infrastructure optimizations.
In this endeavor, a proof-of-concept homomorphic application is developed to determine the production readiness of encryption ecosystems. A movie recommendation app is implemented for this purpose and productionized through containerization and orchestration. By tuning deployment configurations, the computational limitations of Fully Homomorphic Encryption (FHE) are mitigated through additional infrastructure optimizations Index Terms: Reinforcement Learning, Orchestration, Homomorphic Encryption