{"ID":2862400,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.02376","arxiv_id":"2510.02376","title":"Scaling Homomorphic Applications in Deployment","abstract":"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","short_abstract":"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 limit...","url_abs":"https://arxiv.org/abs/2510.02376","url_pdf":"https://arxiv.org/pdf/2510.02376v1","authors":"[\"Ryan Marinelli\",\"Angelica Chowdhury\"]","published":"2025-09-30T00:42:55Z","proceeding":"cs.CR","tasks":"[\"cs.CR\",\"cs.AI\"]","methods":"[\"Reinforcement Learning\"]","has_code":false}