Non-IID Data

QIS vs TensorFlow Federated: Why Routing Outcomes Beats Moving Models

This article discusses the model divergence problem in TensorFlow Federated (FedAvg) in healthcare scenarios with non-IID data, where centralized aggregation becomes ineffective. It proposes 'Quadratic Intelligence' as an alternative to overcome these architectural limitations.