Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis

Shuaijun Chen, Omid Tavallaie, Michael Henri Hambali +5

Federated learning (FL) is a novel distributed learning framework designed for applications with privacy-sensitive data. Without sharing data, FL trains local models on individual…