Federated Learning for Multimedia Data Processing and Security in Industry 5.0 (Computing and Networks)

Price: $150.00
(as of Dec 24,2024 20:25:06 UTC – Details)

Publisher ‏ : ‎ The Institution of Engineering and Technology (February 1, 2025)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 334 pages
ISBN-10 ‏ : ‎ 1839537574
ISBN-13 ‏ : ‎ 978-1839537578
Item Weight ‏ : ‎ 1.74 pounds

Federated Learning for Multimedia Data Processing and Security in Industry 5.0 (Computing and Networks)

Industry 5.0, the next phase in the evolution of manufacturing, is driven by advanced technologies such as artificial intelligence, Internet of Things (IoT), and big data analytics. In this rapidly changing landscape, multimedia data processing plays a crucial role in enabling smart factories and optimizing production processes.

Federated learning, a decentralized machine learning approach, has emerged as a promising solution for processing multimedia data in Industry 5.0. By training models on data distributed across multiple devices or edge nodes, federated learning enables organizations to leverage the collective intelligence of their network without compromising data privacy and security.

One of the key advantages of federated learning is its ability to process multimedia data in real-time, enabling manufacturers to make informed decisions quickly and accurately. This is particularly important in dynamic production environments where delays can result in costly downtime or inefficiencies.

Furthermore, federated learning enhances data security by keeping sensitive information localized on individual devices, reducing the risk of data breaches or unauthorized access. This is crucial in Industry 5.0, where the interconnected nature of devices and systems increases the vulnerability of sensitive data.

Overall, federated learning holds great potential for revolutionizing multimedia data processing in Industry 5.0, enabling manufacturers to extract valuable insights from their data while ensuring the security and privacy of their information. As the industry continues to embrace digital transformation, federated learning will play a key role in driving innovation and efficiency in manufacturing processes.
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