FEDERATED LEARNING SYSTEM AND METHOD WITH ADAPTIVE NOISE AND DIFFERENTIAL PRIVACY

Number of patents in Portfolio can not be more than 2000

United States of America

APP PUB NO 20250119251A1
SERIAL NO

18544556

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Abstract

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A wireless communication network method and system that includes a central server, cellular base stations, edge computing devices, and client devices. The client devices send uplink pilot sequences, which are collected and aggregated by the base stations. The base stations then relay this aggregated pilot data to the central server. The central server deploys network weights for a global deep learning neural network model to the base stations for incorporation into respective local deep learning models, trained to predict optimal beamforming vectors, to the base stations for incorporation into respective local deep learning model. During training the central server integrates adaptive noise into weights received for each of the local deep learning models.

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Patent Owner(s)

Patent OwnerAddress
MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCEMASDAR CITY BUILDING 1B 3RD FLOOR ABU DHABI

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
ABASI, Ammar Kamal Abu Dhabi, AE 1 0
ALOQAILY, Moayad Abu Dhabi, AE 3 1
GUIZANI, Mohsen Abu Dhabi, AE 5 5

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