PulseAugur
LIVE 12:25:04
research · [2 sources] ·
0
research

Federated learning in production (part 2)

By PulseAugur Editorial · Summary by None from 2 sources

This podcast episode delves into the practical aspects of implementing federated learning systems in enterprise environments, focusing on the Flower framework. The discussion highlights the architecture of Flower, including its supernodes and superlinks, and how it is designed for real-world application across data silos. The conversation also touches upon the impact of the generative AI boom on the future development roadmap of federated learning technologies. AI

Summary written by None from 2 sources. How we write summaries →

RANK_REASON Podcast discussing a specific framework (Flower) for federated learning, which is a research area and an infrastructure component.

Read on Practical AI →

Federated learning in production (part 2)

COVERAGE [2]

  1. Practical AI TIER_1 · Practical AI LLC ·

    Federated learning in production (part 2)

    <p>Chong Shen from Flower Labs joins us to discuss what it really takes to build production-ready federated learning systems that work across data silos. We talk about the Flower framework and it's architecture (supernodes, superlinks, etc.), and what makes it both "friendly" and…

  2. Practical AI TIER_1 · Practical AI LLC ·

    Federated learning in production (part 1)

    <p>In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling secure, collaborative model tr…

RELATED TOPICS