US Patent Issued to Northeastern University on July 14 for "Computer-implemented methods and systems for compressing deep neural network models using alternating direction method of multipliers (ADMM)" (Massachusetts Inventors)

ALEXANDRIA, Va., July 14 -- United States Patent no. 12,682,241, issued on July 14, was assigned to Northeastern University (Boston).

"Computer-implemented methods and systems for compressing deep neural network models using alternating direction method of multipliers (ADMM)" was invented by Yanzhi Wang (Newton Highlands, Mass.) and Xue Lin (Newton Highlands, Mass.).

According to the abstract* released by the U.S. Patent & Trademark Office: "ADMM-NN is an algorithm-hardware co-optimization framework of DNNs using Alternating Direction Method of Multipliers (ADMM). The first part of ADMM-NN is a systematic, joint framework of DNN weight pruning and quantization using ADMM. The second part is a hardware-aware optimization to facilitate hard...