ALEXANDRIA, Va., June 16 -- United States Patent no. 12,657,066, issued on June 16, was assigned to Micron Technology Inc. (Boise, Idaho).
"Partition a tensor with varying granularity levels in shuffled secure multiparty computation" was invented by Andre Xian Ming Chang (Bellevue, Wash.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Protection of access to a tensor in outsourcing deep learning computations via shuffling. For example, the tensor in the computation of an artificial neural network can be partitioned into portions of different sizes. The computing tasks can be generated for operating on the portions such that the results of the computing tasks can be combined to obtain the result of a computing...