Ravnest: Decentralized Asynchronous Training on Heterogeneous Devices

Raven Protocol
RavenProtocol
Published in
Feb 5, 2024

We are happy to share that we’ve published a new research paper!

Check the Cornell University arXiv pre-print for Ravnest, our new decentralized algorithm: https://arxiv.org/abs/2401.01728

We request everyone to have a look at this research paper and give us feedback on any improvements for future iterations.

The implementation is underway and the updates can be found on the following GitHub Repository: https://github.com/ravenprotocol/ravnest

Please note that we are not inviting contributions immediately as we are working on the experimental and comparative analysis of our proposed approach and thereby making regular drastic updates to this repository.

— The Raven Protocol Team

OFFICIAL CHANNELS:
Official Email Address: founders@ravenprotocol.com
Official Website Link: http://www.RavenProtocol.com
Official Announcement Channel: https://t.me/raven_announcements
Official Telegram Group: https://t.me/ravenprotocol
Official Twitter: https://twitter.com/raven_protocol
Official Medium: https://medium.com/ravenprotocol
Official LinkedIn: https://linkedin.com/company/ravenprotocol
Official Github: https://www.github.com/ravenprotocol
Official Substack: https://ravenprotocol.substack.com
Official Discord: https://discord.gg/Njq8QxYUKR

--

--

Raven Protocol
RavenProtocol

www.RavenProtocol.com is a decentralized and distributed deep-learning training protocol. Providing cost-efficient and faster training of deep neural networks.