Moyeenudin, H.M. and Parvez, Shaik Javed and Jose, Anand A and Anandan, R and Goundar, Sam (2023) Detecting Device Sensors of Luxury Hotels using Blockchain-based Federated Learning to Increase Customer Satisfaction: Advances, Applications and Opportunities. In: Handbook on Federated Learning. CRC Press, Boca Raton, pp. 283-307. ISBN 9781003384854
Full text not available from this repository. (Request a copy)Abstract
This chapter has the major contribution towards the federated learning modules which are hosted to coordinate with client servers, to modify the design by shifting all with our future development, the modules from guest servers to hotel guest gadgets with more potent computational and storage capacities. Recently, IoT federated learning has used blockchain to ensure data truthfulness to draw in enough client data and computing resources for training. The IoT Devices of hotels play a crucial role in keeping the hotel guest's satisfaction further they also coordinate with various applications of the hotel, which in turn increases the hotel room occupancy through the feedback using digital gadgets and through Online Travel Agents (OTA). The IoT devices with smartphones, contemporary wireless communications, cloud & edge computing, big data analytics, and artificial intelligence are primarily what make this concept of a smart hotel possible.
Item Type: | Book Section |
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Subjects: | Hotel and Catering Management > Food and Beverage Management |
Divisions: | Hotel and Catering Management |
Depositing User: | Mr IR Admin |
Date Deposited: | 09 Oct 2024 10:09 |
Last Modified: | 09 Oct 2024 10:09 |
URI: | https://ir.vistas.ac.in/id/eprint/9565 |