Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
Nanyang Technological University · Agency for Science, Technology and Research · +3 more institutions
Abstract
Home appliance manufacturers strive to obtain feedback from users to improve their products and services to build a smart home system. To help manufacturers develop a smart home system, we design a federated learning (FL) system leveraging a reputation mechanism to assist home appliance manufacturers to train a machine learning model based on customers’ data. Then, manufacturers can predict customers’ requirements and consumption behaviors in the future. The working flow of the system includes two stages: in the first stage, customers train the initial model provided by the manufacturer using both the mobile phone and the mobile-edge computing (MEC) server. Customers collect data from various home appliances…
Citation impact
- FWCI
- 44.07
- Percentile
- 100%
- References
- 81
Authors
8Topics & keywords
- Blockchain
- Computer science
- Internet of Things
- Computer security
- Information privacy
- Computer network
- Cryptography