- Community Home
- >
- Company
- >
- Advancing Life & Work
- >
- Training Machine Learning Models at the Edge (VIDE...
Categories
Company
Local Language
Forums
Discussions
Forums
- Data Protection and Retention
- Entry Storage Systems
- Legacy
- Midrange and Enterprise Storage
- Storage Networking
- HPE Nimble Storage
Discussions
Discussions
Discussions
Forums
Forums
Discussions
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
- BladeSystem Infrastructure and Application Solutions
- Appliance Servers
- Alpha Servers
- BackOffice Products
- Internet Products
- HPE 9000 and HPE e3000 Servers
- Networking
- Netservers
- Secure OS Software for Linux
- Server Management (Insight Manager 7)
- Windows Server 2003
- Operating System - Tru64 Unix
- ProLiant Deployment and Provisioning
- Linux-Based Community / Regional
- Microsoft System Center Integration
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Community
Resources
Forums
Blogs
- Subscribe to RSS Feed
- Mark as New
- Mark as Read
- Bookmark
- Receive email notifications
- Printer Friendly Page
- Report Inappropriate Content
Training Machine Learning Models at the Edge (VIDEO)
Watch Jake Ludington interview Mark Linesch, Vice President of strategy for the Hewlett Packard Enterprise CTO Office and Hewlett Packard Labs, at HPE Discover. They talk about training machine learning models at the edge.
The cost of transporting the increasingly massive amount of data from where it is collected back to the data center has become prohibitive. Training at the edge, a major element of swarm learning, looks to provide the solution to that problem.
Swarm learning helps address this issue by pushing the training to the edge near the data, with Blockchain providing a way to nominate a central host that aggregates the training and keeps everything in sync. In this interview from HPE Discover, Mark Linesch explains how machine learning at the edge works and some of the potential use cases.
- Back to Blog
- Newer Article
- Older Article
- MandyLott on: HPE Learning Partners share how to make the most o...
- thepersonalhelp on: Bridging the Gap Between Academia and Industry
- Karyl Miller on: How certifications are pushing women in tech ahead...
- Drew Lietzow on: IDPD 2021 - HPE Celebrates International Day of Pe...
- JillSweeneyTech on: HPE Tech Talk Podcast - New GreenLake Lighthouse: ...
- Fahima on: HPE Discover 2021: The Hybrid Cloud sessions you d...
- Punit Chandra D on: HPE Codewars, India is back and it is virtual
- JillSweeneyTech on: An experiment in Leadership โ Planning to restart ...
- JillSweeneyTech on: HPE Tech Talk Podcast - Growing Up in Tech, Ep.13
- Kannan Annaswamy on: HPE Accelerating Impact positively benefits 360 mi...