research
∙
08/18/2023
Defending Label Inference Attacks in Split Learning under Regression Setting
As a privacy-preserving method for implementing Vertical Federated Learn...
share
research
∙
06/26/2023
Federated Learning on Non-iid Data via Local and Global Distillation
Most existing federated learning algorithms are based on the vanilla Fed...
research
∙
05/29/2023
Reducing Communication for Split Learning by Randomized Top-k Sparsification
Split learning is a simple solution for Vertical Federated Learning (VFL...
research
∙
10/18/2022
Making Split Learning Resilient to Label Leakage by Potential Energy Loss
As a practical privacy-preserving learning method, split learning has dr...
research
∙
08/17/2021
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation
With the increasing demands for privacy protection, privacy-preserving m...
research
∙
08/18/2020