公开(公告)号：US20200272934A1

公开(公告)日：2020-08-27

申请号：US16282098

申请日：2019-02-21

Applicant: Hewlett Packard Enterprise Development LP

Inventor： SATHYANARAYANAN MANAMOHAN ,  Krishnaprasad Lingadahalli Shastry ,  Vishesh Garg

IPC: G06N20/00

Abstract: Decentralized machine learning to build models is performed at nodes where local training datasets are generated. A blockchain platform may be used to coordinate decentralized machine learning (ML) over a series of iterations. For each iteration, a distributed ledger may be used to coordinate the nodes communicating via a blockchain network. A node can include self-healing features to recover from a fault condition within the blockchain network in manner that does not negatively impact the overall learning ability of the decentralized ML system. During self-healing, the node can determine that a local ML state is not consistent with the global ML state and trigger a corrective action to recover the local ML state. Thereafter, the node can generate a blockchain transaction indicating that it is in-sync with the most recent iteration of training, and informing other nodes to reintegrate the node into ML.