Yebo Wu

Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive Training

2024 · arXiv (Cornell University)

This paper presents ProFL, a new framework that effectively addresses the memory constraints in FL. Rather than updating the full model during local training, ProFL partitions the model into blocks based on its original architecture …