97 citations · 114 across the 5 of their papers we have counts for
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cs.DC2023
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing
Yifan Shi, Kang Wei, Li Shen +4
Federated learning (FL) is a collaborative learning paradigm for decentralized private data from mobile terminals (MTs). However, it suffers from issues in terms of communication,…
cs.DC2022★ 97 cited
A Survey on Collaborative DNN Inference for Edge Intelligence
Weiqing Ren, Yuben Qu, Chao Dong +4
With the vigorous development of artificial intelligence (AI), the intelligent applications based on deep neural network (DNN) change people's lifestyles and the production efficie…
cs.DC2022★ 16 cited
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
Xiang Yang, Zikang Xu, Qi Qi +4
Distributing the inference of convolutional neural network (CNN) to multiple mobile devices has been studied in recent years to achieve real-time inference without losing accuracy.…