Query-driven Edge Node Selection in Distributed Learning Environments-Reference-Cited by-同舟云学术

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Query-driven Edge Node Selection in Distributed Learning Environments

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW)
language:
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Author:

Aladwani Tahani¹,Anagnostopoulos Christos¹,Kolomvatsos Kostas²,Alghamdi Ibrahim³,Deligianni Fani¹

Affiliation:

1. University of Glasgow,School of Computing Science,UK

2. University of Thessaly,Dept. of Informatics and Telecommunications,GR

3. Al-Baha University,Faculty of Science and Arts in Baljurashi,Dept. of Computer Science,SA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10148090/10148105/10148155.pdf?arnumber=10148155

Reference18 articles.

1. Large-scale Data Exploration Using Explanatory Regression Functions

2. Stochastic Client Selection for Federated Learning With Volatile Clients

3. Local & Federated Learning at the network edge for efficient predictive analytics

4. Proactive & Time-Optimized Data Synopsis Management at the Edge

5. Contribution‐based Federated Learning client selection

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