Federated Learning with Homomorphic Encryption: A Privacy-Preserving Solution for Smart Cities
Abstract The rapid proliferation of smart cities has led to an unprecedented generation of sensitive data from interconnected infrastructures, such as healthcare, transportation, energy, and surveillance systems. Ensuring data privacy and security while enabling real-time data analytics remains a cr...
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| Үндсэн зохиолч: | |
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| Формат: | Artigo |
| Хэл сонгох: | Inglês |
| Хэвлэсэн: |
Springer
2025-11-01
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| Цуврал: | International Journal of Computational Intelligence Systems |
| Нөхцлүүд: | |
| Онлайн хандалт: | https://doi.org/10.1007/s44196-025-00829-0 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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