TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks-Reference-Cited by-同舟云学术

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TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:ICC 2022 - IEEE International Conference on Communications
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Author:

Meybodi Zohreh Hajiakhondi¹,Mohammadi Arash²,Rahimian Elahe²,Heidarian Shahin¹,Abouei Jamshid³,Plataniotis Konstantinos N.⁴

Affiliation:

1. Concordia University,Electrical and Computer Engineering,Montreal,Canada

2. Concordia University,Concordia Ins. for Inf. Systems Eng.,Montreal,Canada

3. Yazd University,Department of Electrical Engineering,Yazd,Iran

4. University of Toronto,Electrical & Computer Engineering,Toronto,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837954/9838246/09838981.pdf?arnumber=9838981

Reference35 articles.

1. Layer normalization;ba,2016

2. Bert: Pre-training of Deep Bidirectional Transformers for Language Understanding;devlin,2018

3. Forecasting Crashes: Trading Volume, Past Returns, and Conditional Skewness in Stock Prices;joseph;Journal of Financial Economics,2001

4. Popularity-driven content caching

5. Attention-Based Neural Network: A Novel Approach for Predicting the Popularity of Online Content

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