Episode 33: Decentralized Machine Learning and the proof-of-train episode artwork

EPISODE · Jun 11, 2018 · 17 MIN

Episode 33: Decentralized Machine Learning and the proof-of-train

from Data Science at Home · host Francesco Gadaleta

In the attempt of democratizing machine learning, data scientists should have the possibility to train their models on data they do not necessarily own, nor see. A model that is privately trained should be verified and uniquely identified across its entire life cycle, from its random initialization to setting the optimal values of its parameters. How does blockchain allow all this? Fitchain is the decentralized machine learning platform that provides models an identity and a certification of their training procedure, the proof-of-train

Episode metadata supplied by the publisher feed · Published Jun 11, 2018

Embed this episode

Ready to play

Episode 33: Decentralized Machine Learning and the proof-of-train

0:00 17:40

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Data Science at Home?

This episode is 17 minutes long.

When was this Data Science at Home episode published?

This episode was published on June 11, 2018.

Can I download this Data Science at Home episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!