Federated Learning in Data Privacy and Security
Federated learning (FL) has been a rapidly growing topic in recent years. The biggest concern in federated learning is data privacy and cybersecurity. There are many algorithms that federated models have to work on to achieve greater efficiency, security, quality and effective learning. This paper f...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Ediciones Universidad de Salamanca
2024-12-01
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Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
Subjects: | |
Online Access: | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31647 |
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