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Federated Learning For All With Flower
Federated Learning For All With Flower
ratings:
Length:
61 minutes
Released:
May 11, 2021
Format:
Podcast episode
Description
Machine learning is a tool that has typically been performed on large volumes of data in one place. As more computing happens at the edge on mobile and low power devices, the learning is being federated which brings a new set of challenges. Daniel Beutel co-created the Flower framework to make federated learning more manageable. In this episode he shares his motivations for starting the project, how you can use it for your own work, and the unique challenges and benefits that this emerging model offers. This is a great exploration of the federated learning space and a framework that makes it more approachable.
Released:
May 11, 2021
Format:
Podcast episode
Titles in the series (100)
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