Hybrid Data Encoding for Local Differential Privacy Trade-Offs
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Solution Overview
Problem
Existing data transmission methods lack a balanced approach to achieve high accuracy and reduce communication resource usage while ensuring data privacy and security, particularly in systems using local differential privacy mechanisms.
Innovation Solution
A hybrid encoding technique is employed, where unary encoding is applied to a subset of data items based on certain criteria, and hash-based encoding is used for the remainder, followed by local differential privacy mechanisms to generate an encrypted output vector for transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If unary encoding is applied to all data items to ensure high accuracy, then measurement precision is improved, but communication cost increases
Solution Approach 1:
The patent divides the dataset into two subsets: a first subset of frequently accessed data items encoded using unary encoding for high accuracy, and a second subset of less frequently accessed items encoded using hash-based encoding for reduced communication cost. This segmentation resolves the contradiction by applying different encoding strategies to different portions of the data based on access patterns.
Solution Approach 2:
The patent applies different encoding qualities to different data items based on their access frequency. Frequently accessed items receive the higher-quality unary encoding, while less frequently accessed items use the lower-quality but more efficient hash-based encoding. This local differentiation optimizes the balance between accuracy and communication cost.
2Quantity of substance
If hash-based encoding is applied to all data items to reduce communication cost, then communication cost is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent segments the data based on access frequency, applying hash-based encoding only to the second subset of less frequently accessed items rather than all data. This selective application maintains accuracy for important data while reducing communication costs for less critical data.
Solution Approach 2:
The patent applies different encoding qualities locally: hash-based encoding is applied only where it is sufficient (less frequently accessed items), while unary encoding is applied where high precision is required (frequently accessed items). This resolves the contradiction by matching encoding quality to data importance.
3Productivity
If data is transmitted without encryption to reduce processing overhead, then productivity is improved, but data security deteriorates
Solution Approach 1:
The patent applies local differential privacy mechanisms to the encoded data before transmission, introducing noise to prevent inference of original values. This preliminary privacy protection allows the system to transmit processed data with reduced overhead while maintaining security through mathematical guarantees rather than heavy encryption.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for encoding data on client devices. One of the methods includes obtaining dataset for transmission; dividing the dataset into two subsets according to one or more selection criteria, wherein data items that satisfy the one or more criteria are added to a first subset and the data items that do not satisfy the one or more criteria are added to a second subset, wherein the first subset is smaller than the second subset; encoding the data items of the first subset according to a first encoding technique and encoding the data items of the second subset according to a second encoding technique; applying a local differential privacy (LDP) mechanism to data elements of the first subset and the second subset to generate an LDP message; and transmitting the LDP message to an external recipient.