The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 12, 2026
Filed:
Feb. 03, 2022
L3harris Technologies, Inc., Melbourne, FL (US);
Mark Rahmes, Melbourne, FL (US);
Kevin Fox, Palm Bay, FL (US);
Jennifer Spicer, Westminster, MD (US);
Shoaib Shaikh, Windermere, FL (US);
Macaulay Osaisai, Rockledge, FL (US);
Michael Fischer, Indiatlantic, FL (US);
Ziad Chaudhry, Melbourne, FL (US);
L3Harris Technologies, Inc., Melbourne, FL (US);
Abstract
Methods of training a variational autoencoder (VAE) to recognize anomalous data in a distributed system are provided. Input image data representative of devices/processes in a distributed system are provided to an encoder of a VAE on a processor. The input image data is compressed, via the processor, using a first plurality of weights with the encoder. A normal distribution of the compressed image data is created in a latent space of the VAE. The compressed image data from the latent space is decompressed using a second plurality of weights with a decoder of the VAE. The decompressed image data from the decoder is optimized. At least the first and second plurality of weights are updated, via the processor, based on the loss detected in the optimized decompressed image data. The above steps are iterated until the decompressed image data possesses substantially the same statistical properties as the input image data.