Towards Decentralized Deep Learning with Differential Privacy

Author:

Cheng Hsin-Pai,Yu Patrick,Hu Haojing,Zawad Syed,Yan Feng,Li Shiyu,Li Hai,Chen Yiran

Publisher

Springer International Publishing

Reference22 articles.

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3. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., et al.: Tensorflow: a system for large-scale machine learning. In: Proceedings of the 12th USENIX Conference on Operating Systems Design and Implementation, OSDI 2016, pp. 265–283. USENIX Association, Berkeley (2016)

4. Dean, J., et al.: Large scale distributed deep networks. In: International Conference on Neural Information Processing Systems, pp. 1223–1231 (2013)

5. Xing, E.P., et al.: A new platform for distributed machine learning on big data. IEEE Trans. Big Data 1(2), 1335–1344 (2015)

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1. Topology-Dependent Privacy Bound for Decentralized Federated Learning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. DP-ACO: Differentially Private Average Consensus Optimization in Decentralized Learning;Lecture Notes on Data Engineering and Communications Technologies;2024

3. The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning;2023-10-30

4. Secure Decentralized Image Classification With Multiparty Homomorphic Encryption;IEEE Transactions on Circuits and Systems for Video Technology;2023-07

5. On the (In)security of Peer-to-Peer Decentralized Machine Learning;2023 IEEE Symposium on Security and Privacy (SP);2023-05

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