Applying Federated Learning on Decentralized Smart Farming: A Case Study-Reference-Cited by-同舟云学术

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Applying Federated Learning on Decentralized Smart Farming: A Case Study

Published:2023-05-28 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Communications Workshops (ICC Workshops)
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Author:

Siniosoglou Ilias¹,Xouveroudis Konstantinos²,Argyriou Vasileios³,Lagkas Thomas⁴,Margounakis Dimitrios⁵,Boulogeorgos Alexandros-Apostolos A.¹,Sarigiannidis Panagiotis¹

Affiliation:

1. University of Western Macedonia,Department of Electrical and Computer Engineering,Kozani,Greece

2. MetaMind Innovations P.C.,R&D Department,Kozani,Greece

3. Kingston University,Department of Networks and Digital Media,Kingston upon Thames,United Kingdom

4. International Hellenic University,Department of Computer Science,Kavala Campus,Greece

5. Sidroco Holdings Ltd.,Nicosia,Cyprus

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10283478/10283479/10283681.pdf?arnumber=10283681

Reference28 articles.

1. 25 years of time series forecasting

2. Data-Centric Client Selection for Federated Learning Over Distributed Edge Networks

3. An Istm based classification method for time series trend forecasting;liu;2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA),0

4. Detection of Macrolepiota Procera Mushrooms Using Machine Learning

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