18558941. INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SERVER, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM simplified abstract (SONY GROUP CORPORATION)
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SERVER, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
Organization Name
Inventor(s)
THOMAS Carette of ZAVENTEM (BE)
ALEXANDRU Serbanati of ZAVENTEM (BE)
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SERVER, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18558941 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SERVER, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
The patent application describes an information processing apparatus that aims to protect privacy while maintaining high inference accuracy.
- Learning unit clusters hierarchical data based on multiple inference models from a server.
- Learning unit uses corresponding inference models for each cluster to perform learning.
- Communication unit transmits intermediate results from learning to the server.
- Hierarchical data includes main elements and associated logs.
- The technology focuses on privacy protection and accurate inference in data processing.
- Potential Applications:
This technology can be applied in various fields such as healthcare, finance, and marketing for data analysis and inference while ensuring privacy protection.
- Problems Solved:
The technology addresses the challenge of balancing privacy protection and accurate data inference in information processing systems.
- Benefits:
- Enhanced privacy protection in data processing. - Improved accuracy in data inference. - Efficient learning and clustering of hierarchical data.
- Commercial Applications:
Title: Privacy-Enhanced Data Inference Technology This technology can be utilized in industries such as healthcare analytics, financial services for customer data analysis, and targeted marketing campaigns.
- Prior Art:
Readers can explore prior research on privacy-preserving data processing and machine learning techniques to understand the evolution of similar technologies.
- Frequently Updated Research:
Researchers are constantly working on improving privacy-preserving data processing techniques and enhancing the accuracy of data inference models. Stay updated on recent advancements in this field.
- Questions about Privacy-Enhanced Data Inference Technology:
1. How does this technology ensure privacy protection while performing accurate data inference?
- The technology uses clustering and inference models to process data while maintaining privacy through secure communication protocols.
2. What are the potential challenges in implementing this technology in real-world applications?
- Implementing this technology may require robust data security measures and compliance with privacy regulations to ensure effective deployment in various industries.
Original Abstract Submitted
To achieve both protection of privacy and high inference accuracy. Provided is an information processing apparatus includes a learning unit that clusters hierarchical data on the basis of a plurality of inference models distributed from an information processing server, and performs learning using the inference model corresponding to every cluster, and a communication unit that transmits an intermediate result generated for every cluster in the learning by the learning unit to the information processing server. The hierarchical data includes information for specifying a main element and a log collected or generated in association with the main element.
