Integration of Federated Learning and Blockchain for Smart Cities

Price: $225.00
(as of Dec 25,2024 00:27:41 UTC – Details)

Publisher ‏ : ‎ Wiley-Scrivener; 1st edition (August 26, 2025)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 400 pages
ISBN-10 ‏ : ‎ 1394166451
ISBN-13 ‏ : ‎ 978-1394166459
Item Weight ‏ : ‎ 1.47 pounds

Federated learning and blockchain are two cutting-edge technologies that have the potential to revolutionize the way smart cities operate. Federated learning allows multiple parties to collaborate on a machine learning model without sharing their data, while blockchain provides a secure and transparent way to store and verify information. By integrating these two technologies, smart cities can enhance data privacy, security, and efficiency.

One of the key benefits of integrating federated learning and blockchain in smart cities is the enhanced data privacy and security. With federated learning, data remains on the devices of individual users or organizations, and only aggregated model updates are shared between parties. This helps protect sensitive information and reduce the risk of data breaches. By storing these model updates on a blockchain, smart cities can ensure the integrity and immutability of the data, further enhancing security.

Another advantage of this integration is improved efficiency in data processing and analysis. Federated learning allows for distributed computation, enabling multiple devices to collaboratively train machine learning models. By leveraging blockchain technology to securely store and verify these model updates, smart cities can streamline the process of collecting, analyzing, and acting on data. This can lead to faster decision-making and more accurate insights for urban planning, resource allocation, and other city operations.

Furthermore, the combination of federated learning and blockchain can enable new decentralized applications and services in smart cities. For example, smart contracts on a blockchain could automate and enforce agreements between parties participating in federated learning collaborations. This could facilitate the sharing of resources, rewards, and governance mechanisms in a transparent and trustless manner.

In conclusion, the integration of federated learning and blockchain holds great promise for enhancing the efficiency, privacy, and security of smart cities. By leveraging these technologies together, cities can unlock new opportunities for collaborative data analysis, decentralized decision-making, and innovative services. As smart cities continue to evolve and grow, the fusion of federated learning and blockchain will play a pivotal role in shaping the future of urban living.
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