AT&T Intellectual Property I, LP

New Jersey Institute of Technology

Yi Chen

Rittwik Jana

Guy Jacobson

Wen-Ling Hsu

Manoop Talasila

Anwar Syed Aftab

Cristian Borcea

Xiaopeng Jiang

Shuai Zhao

An artificial intelligence (AI) automation to improve network quality based on predicted locations is provided. A method can include training, by a first device comprising a processor and according to model configuration parameters received from a second device that is not the first device, a local machine learning model with training data derived from first location data collected by the first device; transmitting, by the first device to the second device, anonymized model features associated with the local machine learning model; in response to the transmitting of the anonymized model features, receiving, by the first device from the second device, an aggregated machine learning model; and estimating, by the first device, a future position of the first device by applying the aggregated machine learning model to second location data collected by the first device.

Artificial intelligence automation to improve network quality based on predicted locations

Growing community of inventors

Short Hills, NJ, United States of America

Yi Chen