Brings Federated Learning to Kubeflow With FATE-Operator

Explore federated machine learning (FML) implementation in Kubernetes using Kubeflow in this informative conference talk. Learn about the FATE-Operator, designed to run FML jobs on Kubernetes and integrate with the Kubeflow ecosystem. Discover the benefits of FML in solving data silos and enhancing data privacy and security. Gain insights into the FATE open-source project, which provides a secure MPC framework for FML architecture. Understand the challenges of coordinating FML across different geographical locations and how Kubernetes' flexibility and scalability address these issues. By the end of the talk, grasp the concept of FML, learn how to design a Kubernetes Operator, and gain valuable experience in running FML within a Kubernetes environment.

Brings Federated Learning to Kubeflow With FATE-Operator - Layne Peng & Jiahao Chen, VMware