A Survey on Privacy and Security in Distributed Cloud Computing: Exploring Federated Learning and Beyond

The increasing need to process large, high-dimensional datasets and the substantial computational power required have made the use of distributed cloud servers essential. These servers provide cost-effective solutions that make storage and computing accessible to ordinary users. However, they might...

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Hlavní autoři:	Ahmad Rahdari, Elham Keshavarz, Ehsan Nowroozi, Rahim Taheri, Mehrdad Hajizadeh, Mohammadreza Mohammadi, Sima Sinaei, Thomas Bauschert
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Open Journal of the Communications Society
Témata:	Distributed cloud computing edge computing privacy-preserving computing federated learning multi-party computation differential privacy
On-line přístup:	https://ieeexplore.ieee.org/document/10963898/
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