Nokia Patent US12596959B2 - Method for Collaborative Machine Learning
Summary
The USPTO granted Patent US12596959B2 to Nokia Solutions and Networks Oy on April 7, 2026. The patent covers a system for collaborative machine learning using trusted execution environments, where training units, aggregator units, and administration units communicate through encrypted channels to enable privacy-preserving model training across multiple data owners.
What changed
The USPTO granted Nokia a patent on a collaborative machine learning system utilizing trusted execution environments (TEEs) for privacy-preserving distributed training. The system architecture includes training units for data owners, aggregator units for model owners, and an administration unit for synchronization—all implemented as TEEs with encrypted inter-unit communication. This represents a technical solution for federated or split learning scenarios where multiple parties wish to train ML models without sharing raw data.
For technology companies developing federated learning platforms, AI cloud services, or privacy-preserving computation systems, this patent may create licensing requirements or design-around considerations. The scope covers both the architectural components and the encrypted communication protocol between units, potentially affecting product development in collaborative AI, edge computing, and confidential computing spaces.
What to do next
- Monitor for patent assertions or licensing inquiries from the patent holder
- Review existing AI/ML systems for potential infringement exposure
- Consult IP counsel if using similar collaborative ML architectures
Archived snapshot
Apr 7, 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.
Method for collaborative machine learning
Grant US12596959B2 Kind: B2 Apr 07, 2026
Assignee
Nokia Solutions and Networks Oy
Inventors
Alice Dethise, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Antti Herman Koskela
Abstract
A system comprising: at least one training unit for one or more data owners collaborating to the system for storing private data and at least one encrypted model, said training unit being implemented as a trusted execution environment; at least one aggregator unit for each model owner collaborating to the system for storing and executing code of a training algorithm, said aggregator unit being implemented as a trusted execution environment; at least one administration unit for controlling communication and synchronization between the at least one training unit and the at least one aggregator unit, said administration unit being implemented as a trusted execution environment; wherein the communication between the at least one training unit and the at least one aggregator unit is encrypted.
CPC Classifications
G06N 20/00 G06F 21/602 G06F 21/6245
Filing Date
2024-03-01
Application No.
18593496
Claims
15
Named provisions
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