17809036. OPTIMAL PROFILE SELECTION FOR FHE BASED ANALYTICAL MODELS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
OPTIMAL PROFILE SELECTION FOR FHE BASED ANALYTICAL MODELS
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Ehud Aharoni of Kfar Saba (IL)
OPTIMAL PROFILE SELECTION FOR FHE BASED ANALYTICAL MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17809036 titled 'OPTIMAL PROFILE SELECTION FOR FHE BASED ANALYTICAL MODELS
Simplified Explanation
The patent application describes a method and system for evaluating and selecting the best packing solution for data that is processed through a fully homomorphic encryption (FHE) simulation. The goal is to find the most efficient way to pack the data for optimal performance and cost-effectiveness.
- The method involves running a simulation of the FHE system with different packing configurations.
- A user-selected model architecture can be provided to simulate various potential configurations.
- The cost of each simulated configuration is considered when determining the optimal packing solution.
- The system takes into account factors such as data size, computational requirements, and cost to evaluate the performance of different packing solutions.
- The method aims to find the most efficient packing solution that minimizes computational resources and cost while maintaining data integrity and security.
Potential applications of this technology:
- Secure cloud computing: The method can be applied to optimize the packing of data in secure cloud environments, ensuring efficient processing while maintaining data privacy.
- Data analytics: By finding the optimal packing solution, the method can enhance the performance of data analytics processes that involve fully homomorphic encrypted data.
- Machine learning: The technology can be used to improve the efficiency and cost-effectiveness of machine learning algorithms that operate on encrypted data.
Problems solved by this technology:
- Efficient packing: The method solves the problem of finding the most efficient packing solution for data processed through fully homomorphic encryption, optimizing performance and cost.
- Model architecture selection: By allowing users to provide a model architecture, the method addresses the challenge of simulating and evaluating different potential configurations.
- Cost optimization: Considering the cost of each simulated configuration helps solve the problem of minimizing computational resources and cost while maintaining data security.
Benefits of this technology:
- Enhanced performance: By finding the optimal packing solution, the method improves the performance of fully homomorphic encryption simulations, leading to faster processing times.
- Cost-effectiveness: Considering the cost of each configuration allows for cost optimization, resulting in more efficient resource utilization and reduced expenses.
- Customizability: Allowing users to provide a model architecture enables customization and flexibility in simulating and evaluating different packing configurations.
Original Abstract Submitted
A method and system for evaluating and selecting an optimal packing solution (or solutions) for data that is run through a fully homomorphic encryption (FHE) simulation. In some instances, a user selected model architecture is provided in order to start simulating multiple potential configurations. Additionally, the cost of each simulated configuration is taken into account when determining an optimal packing solution.
