DISTRIBUTED AND COLLABORATIVE ANALYTICS OF ENCRYPTED DATA USING DEEP POLYNOMIAL NETWORKS

摘要

This disclosure relates to a cloud-local joint or collaborative data analytics framework that provides data analytics models trained and hosted in backend servers for processing data items preprocessed and encrypted by remote terminal devices. The data analytics models are configured to generate encrypted output data items that are then communicated to the local terminal devices for decryption and post-processing. This framework functions without exposing decryption keys of the local terminal devices to the backend servers and the communication network. The encryption/decryption and data analytics in the backend servers are configured to process and communicate data items efficiently to provide real-time or near real-time system response to requests for data analytics from the remote terminal devices.