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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.LG2023
DNNShifter: An Efficient DNN Pruning System for Edge Computing
Bailey J. Eccles, Philip Rodgers, Peter Kilpatrick +2
Deep neural networks (DNNs) underpin many machine learning applications. Production quality DNN models achieve high inference accuracy by training millions of DNN parameters which…