21 citations · 21 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 21 cited
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Jiawei Shao, Yuchang Sun, Songze Li +1
Federated learning (FL) strives to enable collaborative training of machine learning models without centrally collecting clients' private data. Different from centralized training,…
cs.LG2021
Communication-Computation Efficient Device-Edge Co-Inference via AutoML
Xinjie Zhang, Jiawei Shao, Yuyi Mao +1
Device-edge co-inference, which partitions a deep neural network between a resource-constrained mobile device and an edge server, recently emerges as a promising paradigm to suppor…
cs.LG2019
BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems
Jiawei Shao, Jun Zhang
The emergence of various intelligent mobile applications demands the deployment of powerful deep learning models at resource-constrained mobile devices. The device-edge co-inferenc…