Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural Networks-Reference-Cited by-同舟云学术

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Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural Networks

Published:2020-12 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)
language:
Short-container-title:

Author:

Lockhart Luke¹,Harvey Paul²,Imai Pierre²,Willis Peter³,Varghese Blesson¹

Affiliation:

1. Queen’s University Belfast,UK

2. Rakuten Mobile,Japan

3. British Telecommunications plc,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9302766/9302767/09302776.pdf?arnumber=9302776

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3. ScissionLite: Accelerating Distributed Deep Learning With Lightweight Data Compression for IIoT;IEEE Transactions on Industrial Informatics;2024

4. DFL: Dynamic Federated Split Learning in Heterogeneous IoT;IEEE Transactions on Machine Learning in Communications and Networking;2024

5. ParaTra: A Parallel Transformer Inference Framework for Concurrent Service Provision in Edge Computing;2023 IEEE International Conference on Web Services (ICWS);2023-07

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