Lightning Talk: Multi-Party Learning Using Homomorphic Encryption with Kubeflow... Aakanksha Duggal
Channel: CNCF [Cloud Native Computing Foundation]
Date: 13/11/2023

Lightning Talk: Multi-Party Learning Using Homomorphic Encryption with Kubeflow Pipelines - Aakanksha Duggal, Red Hat

Multi-Party Learning (MPL) has emerged as a promising approach for collaborative machine learning, enabling multiple entities to jointly build models without sharing raw data. However, privacy concerns pose significant challenges when dealing with sensitive data from different parties. Homomorphic Encryption (HE) offers an elegant solution by allowing computations on encrypted data without compromising its privacy. In this session, we explore the integration of Homomorphic Encryption with Kubeflow Pipelines to orchestrate and streamline the MPL process while ensuring data privacy through Homomorphic Encryption. We will discover how this cutting-edge combination enables secure and privacy-preserving multi-party collaboration, opening doors for cross-organizational machine learning without exposing sensitive data. We will showcase real-world use cases, discuss implementation challenges, and provide insights into optimizing performance and scalability.