On-Device AI: Quantization-Aware Training of Transformers in Time-Series-Reference-Cited by-同舟云学术

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On-Device AI: Quantization-Aware Training of Transformers in Time-Series

Published:2023-03-13 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
language:
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Author:

Ling Tianheng¹,Schiele Gregor¹

Affiliation:

1. University of Duisburg-Essen,Germany

Funder

Federal Ministry of Economic Affairs and Climate Protection of Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10149845/10150216/10150339.pdf?arnumber=10150339

Reference10 articles.

1. ElasticAI-Creator

2. Enhancing energy-efficiency by solving the throughput bottleneck of lstm cells for embedded fpgas;qian;IoT Streams for Data-Driven Predictive Maintenance and IoT Edge and Mobile for Embedded Machine Learning,2022

3. Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

4. Tiny Time-Series Transformers: Realtime Multi-Target Sensor Inference At The Edge

5. A white paper on neural network quantization;nagel;ArXiv Preprint,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HIQ: One-Shot Network Quantization for Histopathological Image Classification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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