Paper Discussion: A Deep Dive into OpenVFL for Stronger Privacy in ML.

Federated Learning (FL) has opened up exciting possibilities for training machine learning models without compromising the privacy of sensitive data. In this paper discussion, we’ll take a closer look at OpenVFL, a vertical federated learning framework that takes data privacy to the next level. We’ll explore how OpenVFL addresses privacy concerns by minimizing data leakage during model training across multiple parties, each with its own dataset.

Come join us for an engaging discussion as we break down the architecture of OpenVFL and its game-changing approach to privacy in federated learning.

Reference: https://ieeexplore.ieee.org/document/10713409