公开(公告)号：US20190138934A1

公开(公告)日：2019-05-09

申请号：US16235682

申请日：2018-12-28

Applicant: Saurav Prakash ,  Sagar Dhakal ,  Yair Yona ,  Nageen Himayat ,  Shilpa Talwar

Inventor： Saurav Prakash ,  Sagar Dhakal ,  Yair Yona ,  Nageen Himayat ,  Shilpa Talwar

IPC: G06N20/00 ,  G06N7/00 ,  G06N7/08 ,  G06N3/08 ,  G06K9/62 ,  G06F9/50 ,  H04L12/24

Abstract: Systems, apparatuses, methods, and computer-readable media, are provided for distributed machine learning (ML) training using heterogeneous compute nodes in a heterogeneous computing environment, where the heterogeneous compute nodes are connected to a master node via respective wireless links. ML computations are performed by individual heterogeneous compute nodes on respective training datasets, and a master combines the outputs of the ML computations obtained from individual heterogeneous compute nodes. The ML computations are balanced across the heterogeneous compute nodes based on knowledge of network conditions and operational constraints experienced by the heterogeneous compute nodes. Other embodiments may be described and/or claimed.