NEC had ten patents in cloud during Q1 2024. NEC Corp filed patents in Q1 2024 for systems and methods to train a shared machine learning model, manage virtualized infrastructure for network function virtualization, thwart attacks on machine learning models, and facilitate communication between on-premise and cloud devices. GlobalData’s report on NEC gives a 360-degree view of the company including its patenting strategy. Buy the report here.

NEC grant share with cloud as a theme is 40% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Privacy preserving joint training of machine learning models (Patent ID: US20240095602A1)

The patent filed by NEC Corp. describes systems and methods for training a shared machine learning (ML) model. The method involves generating a data transformation function by a first entity, sharing it with other entities, creating private datasets by applying the function to original datasets, and training a ML model using these private datasets. The claims detail the steps involved in training the shared ML model, including generating the data transformation function, sharing it with hosted services, receiving private datasets, and training the ML model. The method also includes optimizing the data transformation function and querying the trained ML model using private datasets.

The patent outlines a method for training a shared ML model, where a cloud infrastructure provider generates a data transformation function, shares it with hosted services, receives private datasets, and trains the ML model. The system described in the patent includes processors configured to execute the method, generating numeric vector representations of raw data, using various algorithms for data transformation, and optimizing the function using an optimization system. Additionally, the patent includes a tangible computer-readable medium with instructions for training the shared ML model, emphasizing the importance of data privacy and security in the process.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.