US Patent Application 18344185. METHOD, APPARATUS, AND SYSTEM FOR TRAINING TREE MODEL simplified abstract
Contents
METHOD, APPARATUS, AND SYSTEM FOR TRAINING TREE MODEL
Organization Name
Inventor(s)
METHOD, APPARATUS, AND SYSTEM FOR TRAINING TREE MODEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 18344185 titled 'METHOD, APPARATUS, AND SYSTEM FOR TRAINING TREE MODEL
Simplified Explanation
The patent application describes a system where one apparatus provides encrypted label distribution information to another apparatus. This allows the second apparatus to calculate an intermediate parameter for its segmentation policy based on the encrypted information, resulting in a gain for the segmentation policy.
- One apparatus provides encrypted label distribution information to another apparatus
- The second apparatus uses this information to calculate an intermediate parameter for its segmentation policy
- This calculation helps the second apparatus achieve a gain in its segmentation policy
- The first apparatus can also determine a preferred segmentation policy based on the gain of both apparatuses' segmentation policies
- The encrypted label distribution information includes label data and distribution information
- The information is in a ciphertext state, ensuring the distribution status of the sample set on the first apparatus remains confidential.
Original Abstract Submitted
A first apparatus provides a second apparatus with encrypted label distribution information for the first node, so that the second apparatus calculates an intermediate parameter of a segmentation policy of the second apparatus side based on the encrypted label distribution information, and therefore a gain of the segmentation policy of the second apparatus side can be obtained. A preferred segmentation policy of the first node can also be obtained based on the gain of the segmentation policy of the second apparatus side and a gain of a segmentation policy of the first apparatus side. The encrypted label distribution information includes label data and distribution information, and is in a ciphertext state. The encrypted label distribution information can be used to determine the gain of the segmentation policy without leaking a distribution status of a sample set on the first node.
