MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202511007468 A) filed by Rakuten Symphony, Inc. on January 29, 2025, for Data Handling Of Homomorphic Encrypted Data Used For Machine Learning Model Training In O-Ran.
Inventors include Adharapurapu, Krishna Pramod; Bykampadi, Nagendra Shridhar; and Chintan Shah, Paromita.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: Embodiments of the disclosure describe a method for data handling of homomorphic encrypted data used for machine learning model training in an Open Radio Access Network (O-RAN). The method includes generating, at a data source entity, data with a Homomorphic Encryption (HE) and plain text labeling. The method further includes transmitting, by the data source entity, the generated data to a model training entity. The generated data with the HE and plain text labeling is used at the model training entity to train a Machine Learning (ML) model. The trained ML model is transferred from the model training entity to a model inference entity. The method further includes transmitting, by the data source entity, the HE data to the model inference entity, to perform one or more interference operations using the HE data and the transferred trained ML model, to obtain a plaintext output at the model inference entity.
Disclaimer: Curated by HT Syndication.
