Practical Considerations of Fully Homomorphic Encryption in Privacy-Preserving Machine Learning - researchr publication authors

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Dan Chia-Tien Lo, Yong Shi 0002, Hossain Shahriar, Bobin Deng, Xinyue Zhang 0001, Mei-Lan Chen. Practical Considerations of Fully Homomorphic Encryption in Privacy-Preserving Machine Learning. In Wei Ding 0003, Chang-Tien Lu, Fusheng Wang 0001, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu, editors, IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024. pages 6330-6335, IEEE, 2024. [doi]

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