US 11,954,611 B2
Tensor comparison across a distributed machine learning environment
Georgios Kollias, White Plains, NY (US); Theodoros Salonidis, Wayne, PA (US); and Shiqiang Wang, White Plains, NY (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Aug. 27, 2020, as Appl. No. 17/004,060.
Prior Publication US 2022/0067543 A1, Mar. 3, 2022
Int. Cl. G06N 20/00 (2019.01); G06N 5/04 (2023.01); G06N 20/20 (2019.01)
CPC G06N 5/04 (2013.01) [G06N 20/00 (2019.01); G06N 20/20 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer implemented method for tensor comparison across a network, the method comprising:
determining, by one or more computer processors, a first parameter of a first vector representation of a first tensor object associated with a first processor;
receiving, by the one or more computer processors, a second parameter associated with a second vector representation of a second tensor object associated with a second processor;
determining, by the one or more computer processors, a first difference value between the first parameter and the second parameter; and
sending, by the one or more computer processors, the first vector representation from the first processor to the second processor, according to the first difference value relative to a first threshold.