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

Mengchen Fan, Baocheng Geng, Keren Li +2

This paper introduces a representative-based approach for distributed learning that transforms multiple raw data points into a virtual representation. Unlike traditional distribute…