2 papers
cs.LG2025
EMO: Edge Model Overlays to Scale Model Size in Federated Learning
Di Wu, Weibo He, Wanglei Feng +3
Federated Learning (FL) trains machine learning models on edge devices with distributed data. However, the computational and memory limitations of these devices restrict the traini…
cs.DC2024
PiPar: Pipeline Parallelism for Collaborative Machine Learning
Zihan Zhang, Philip Rodgers, Peter Kilpatrick +2
Collaborative machine learning (CML) techniques, such as federated learning, have been proposed to train deep learning models across multiple mobile devices and a server. CML techn…