Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning-Reference-Cited by-同舟云学术

Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning

Published:2020-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st Workshop on Distributed Machine Learning
language:
Short-container-title:

Author:

Gajjala Rishikesh R.¹,Banchhor Shashwat¹,Abdelmoniem Ahmed M.¹,Dutta Aritra¹,Canini Marco¹,Kalnis Panos¹

Affiliation:

1. KAUST

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3426745.3431334

Reference51 articles.

1. Shashwat Banchhor Rishikesh Gajjala Yogish Sabharwal and Sandeep Sen. 2020. Decode efficient prefix codes. CoRR abs/2010.05005 (2020). arXiv:2010.05005 https://arxiv.org/abs/2010.05005 Shashwat Banchhor Rishikesh Gajjala Yogish Sabharwal and Sandeep Sen. 2020. Decode efficient prefix codes. CoRR abs/2010.05005 (2020). arXiv:2010.05005 https://arxiv.org/abs/2010.05005

2. D. Basu D. Data C. Karakus and S. Diggavi. 2019. Qsparse-local-SGD: Distributed SGD with Quantization Sparsification and Local Computations. In NeurIPS. D. Basu D. Data C. Karakus and S. Diggavi. 2019. Qsparse-local-SGD: Distributed SGD with Quantization Sparsification and Local Computations. In NeurIPS.

3. R. Bekkerman M. Bilenko and J. Langford. 2011. Scaling up machine learning: Parallel and distributed approaches. Cambridge University Press. R. Bekkerman M. Bilenko and J. Langford. 2011. Scaling up machine learning: Parallel and distributed approaches. Cambridge University Press.

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