Patent Application for Privacy-Preserving Data Aggregation
Summary
The USPTO has published a patent application detailing a method for privacy-aware data aggregation using cryptography. The application, filed by inventors Milan Zivkovic et al., describes techniques for splitting user data into secure input shares to enable network services to leverage sensitive data for model training without exposing the underlying information.
What changed
This document is a patent application (US20260087156A1) filed with the USPTO, describing a method for privacy-preserving data aggregation. The core innovation involves generating cryptographically secure input shares from user equipment (UE) data, based on a privacy-preserving configuration. This allows network services to utilize private data for model training and inference while maintaining data confidentiality.
As this is a patent application, it does not impose direct regulatory obligations or compliance deadlines on entities. However, it signals potential future technological advancements in data privacy and security, particularly relevant for technology companies involved in AI, machine learning, and secure data handling. Compliance officers should be aware of these emerging technologies as they may influence future data protection strategies and product development.
Archived snapshot
Mar 26, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
SIGNALING FOR PRIVACY-PRESERVING AGGREGATION AND PRIVACY-AWARE DATA COLLECTION AND LEARNING
Application US20260087156A1 Kind: A1 Mar 26, 2026
Inventors
Milan Zivkovic, Anousheh Gholami Ghavamabad, Said Medjkouh, Tarik Tabet
Abstract
A method for privacy-aware data aggregation is described. The method includes: receiving an indication of a privacy-preserving configuration for secure data aggregation, the privacy-preserving configuration including one or more parameters to use for splitting user equipment (UE) data into cryptographically secure input shares; generating the cryptographically secure input shares according to the one or more parameters of the privacy-preserving configuration; and transmitting the cryptographically secure input shares containing the UE data. The privacy-aware data aggregation techniques described herein enable network services to leverage private/sensitive data for model training and inference without exposing the underlying data.
CPC Classifications
G06F 21/606 H04L 9/0869
Filing Date
2024-09-20
Application No.
18892281
Named provisions
Related changes
Get daily alerts for USPTO Patent Applications - Networking (H04L)
Daily digest delivered to your inbox.
Free. Unsubscribe anytime.
Source
About this page
Every important government, regulator, and court update from around the world. One place. Real-time. Free. Our mission
Source document text, dates, docket IDs, and authority are extracted directly from USPTO.
The summary, classification, recommended actions, deadlines, and penalty information are AI-generated from the original text and may contain errors. Always verify against the source document.
Classification
Who this affects
Taxonomy
Browse Categories
Get alerts for this source
We'll email you when USPTO Patent Applications - Networking (H04L) publishes new changes.
Subscribed!
Optional. Filters your digest to exactly the updates that matter to you.