Skip to main content

Distributed Learning

Distributed learning involves training and using AI models across multiple distributed systems instead of relying on a single centralised server.

Benefits of Distributed Learning:​

  • Cost Savings: No need for expensive data centres.
  • Scalability: Easily expand by adding more contributors.
  • Accessibility: Affordable AI tools for individuals and businesses.