A Blockchain-Integrated Federated Learning Approach for Secure Data Sharing and Privacy Protection in Multi-Device Communication
The secure transmission of communication data between different devices still faces numerous potential challenges, such as data tampering, data integrity, network attacks, and the risks of information leakage or forgery. This approach aims to handle the distributed trust issues of federated learning...
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| Main Author: | Kejun Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
|
| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2442770 |
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