Query Handler Access Policies for Privacy-Safe AI Training
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Solution Overview
Problem
In consumer electronics, particularly in home automation, the lack of cloud interaction due to privacy concerns prevents system vendors from training AI models using local data, and deploying improved models to edge devices, limiting the functionality of devices that rely on machine-learning.
Innovation Solution
A query handler device acts as a mediator between requester devices and data providers, determining access policies to manage data access for training machine-learning models, ensuring privacy and preventing misuse by authenticating devices, imposing rate limits, and applying privacy-preserving transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud-based interaction is used for AI model training, then AI model training and deployment are enabled, but privacy concerns arise due to data leakage to the cloud
Solution Approach 1:
The patent introduces a query handler as an intermediary component that mediates between data providers and requester devices. The query handler receives requests, determines access policies, and controls data flow without requiring direct cloud connectivity, thus enabling AI model training while maintaining local data privacy through a trusted intermediate entity
Solution Approach 2:
The system segments the data access architecture into distinct components: data providers that hold local data, requester devices that need data for training, and a query handler that manages access. This segmentation allows controlled data sharing without centralized cloud storage, reducing privacy risks while maintaining training capabilities
2Reliability
If a query handler controls data access, then data misuse is prevented, but device complexity increases due to access policy management
Solution Approach 1:
The query handler is designed as a multi-functional component that not only controls data access but also manages authentication, determines access policies, and coordinates between multiple devices. By consolidating these functions in a single intermediary, the system reduces overall complexity compared to implementing separate access control mechanisms in each device
Solution Approach 2:
The query handler autonomously determines access policies and manages data requests without requiring manual intervention or complex configuration in each device. The system self-regulates data flow based on predefined policies, reducing the operational complexity for users while maintaining strong security controls
Data Source
AI summary
Examples relate to a query handler apparatus, query handler method and corresponding computer program, and to a system comprising such a query handler apparatus. The query handler device comprises at least one interface configured to communicate with a requester device and with a plurality of data provider devices. The query handler device comprises processing circuitry configured to obtain a request for data from the requester device. The processing circuitry is configured to determine an access policy for the requester device. The processing circuitry is configured to forward the request with information on the access policy to the plurality of data provider devices, to instruct the plurality of data provider devices to provide the data to the requester device according to the access policy.