AsiaInfo Technologies. has filed a patent for customer experience perception using federated learning in wireless communication systems. The electronic device allows service providers to collaborate on training a global model based on customer experience data for specific services/products. The model aggregates information from multiple providers for improved customer experience perception. GlobalData’s report on AsiaInfo Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on AsiaInfo Technologies, Digital lending was a key innovation area identified from patents. AsiaInfo Technologies's grant share as of January 2024 was 2%. Grant share is based on the ratio of number of grants to total number of patents.
Customer experience perception through federated learning in wireless communication
A newly filed patent (Publication Number: US20240005341A1) describes an electronic device designed for service providers in wireless communication systems to enhance customer experience perception through federated learning. The device includes a processing circuit that determines training data for a global model related to customer experience perception, conducts local model training to obtain intermediate information, and transmits this information to a coordinator for model aggregation with other service providers. The selection of service providers for collaboration is based on data overlapping status, with criteria such as data ID overlapping ratio and data feature overlapping ratio determining participation in federated learning.
Furthermore, the electronic device's processing circuit is configured to handle various aspects of the federated learning process, including determining the type of federated learning algorithm based on data overlapping status, acquiring information about identifiers of local data samples from other service providers, and updating local models based on trained model information received from the coordinator. The iterative implementation of local model training and customer experience perception model training continues until specific termination conditions are met, ensuring optimal performance. Additionally, the device supports encrypted data transmission for identifiers, common identifiers, intermediate information, and local customer experience perception evaluation, safeguarding sensitive information during the collaborative learning process.
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