Privacy-enhanced multi-party deep learning

Author:

Gong MaoguoORCID,Feng JialunORCID,Xie YuORCID

Funder

National key research and development program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference35 articles.

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2. Abadi, M., Chu, A., Goodfellow, I., McMahan, H. B., Mironov, I., & Talwar, K., et al. (2016). Deep learning with differential privacy. In Proceedings of ACM SIGSAC conference on computer and communications security, Vienna, Austria, (pp. 308–318).

3. An approach to stable gradient-descent adaptation of higher order neural units;Bukovsky;IEEE Transactions on Neural Networks and Learning Systems,2017

4. Event-driven stereo visual tracking algorithm to solve object occlusion;Camuñas-Mesa;IEEE Transactions on Neural Networks and Learning Systems,2018

5. Cao, B., Wang, N., Gao, X., & Li, J. (2018). Asymmetric joint learning for heterogeneous face recognition. In: Proceedings of AAAI conference on artificial intelligence. New Orleans, Louisiana, USA, (pp. 6682–6689).

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