Keren Li

Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching

2024

This paper introduces a representative-based approach for distributed learning that transforms multiple raw data points into a virtual representation. Unlike traditional distributed learning methods such as Federated Learning, which do not offer human interpretability, our …