MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202541002833 A) filed by Hewlett Packard Enterprise Development Lp on January 13, 2025, for Auto-Merging Decentralized-Training Metadata In Machine Learning Tracking Pipeline.
Inventors include Nambiar, Divya C; Mukherjee, Saikat; Koomthanam, Annmary Justine; and Bhattacharya, Suparna.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: Abstract Systems and methods are provide for tracking metadata generated by distributed data processing pipelines. An empty execution template representative of a metadata tracking hierarchy can be distributed to a plurality of nodes comprising a distributed artificial intelligence (AI) network. Individual instances of the empty execution template which individual nodes of the plurality of nodes have populated with metadata arising out of the execution of one or more stages of an AI pipeline at the individual nodes, can be received from the plurality of nodes. The metadata from the individual nodes can be merged in accordance with a common execution identifier set forth in the execution template. A global AI pipeline with the merged metadata to facilitate distributed data processing operations with the merged metadata can be created. FIG.1.
Disclaimer: Curated by HT Syndication.
