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CNCF [Cloud Native Computing Foundation]

What, Why and How of Federated Machine Learning – Implementation Using FATE, KubeFATE, and FATE-Operator for Kubeflow

CNCF [Cloud Native Computing Foundation] via YouTube

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This talk introduces federated machine learning, including its principles, use cases, and challenges, then demonstrates implementation on Kubernetes with FATE and KubeFATE and integration with Kubeflow.

Syllabus

Intro
What, Why and How of Federated Machine Learning
Federated Learning Introduction
Federated Learning - Practical Solution to Data Availability (Silos)
Federated Learning System Design (Mobile)
Federated Learning Categories
Federated Learning Concept
Federated Learning Challenges
Federated Al Technology Enabler (FATE)
KubeFATE: FATE Cluster Management
"Low-code" FL Platform
Demo
Resources

Taught by

CNCF [Cloud Native Computing Foundation]

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