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20222026
most citedMoBiLE: Efficient Mixture-of-Experts Inference on Consumer GPU with Mixture of Big Little Experts

1 citations · 1 across the 7 of their papers we have counts for

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cs.LG2022

HQNAS: Auto CNN deployment framework for joint quantization and architecture search

Hongjiang Chen, Yang Wang, Leibo Liu +2

Deep learning applications are being transferred from the cloud to edge with the rapid development of embedded computing systems. In order to achieve higher energy efficiency with…

cs.LG2022

FAQS: Communication-efficient Federate DNN Architecture and Quantization Co-Search for personalized Hardware-aware Preferences

Hongjiang Chen, Yang Wang, Leibo Liu +2

Due to user privacy and regulatory restrictions, federate learning (FL) is proposed as a distributed learning framework for training deep neural networks (DNN) on decentralized dat…