Search Results for author: Yizheng Zhu

Found 3 papers, 0 papers with code

Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy

no code implementations8 Dec 2022 Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung

Deep neural networks have strong capabilities of memorizing the underlying training data, which can be a serious privacy concern.

Distributed Skellam Mechanism: a Novel Approach to Federated Learning with Differential Privacy

no code implementations29 Sep 2021 Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung

We point out a major challenge in this problem setting: that common mechanisms for enforcing DP in deep learning, which require injecting \textit{real-valued noise}, are fundamentally incompatible with MPC, which exchanges \textit{finite-field integers} among the participants.

Federated Learning Memorization

Deep neural networks for efficient phase demodulation in wavelength shifting interferometry

no code implementations21 May 2020 Jacob Black, Shichao Chen, Joseph G. Thomas, Yizheng Zhu

Analytical phase demodulation algorithms in optical interferometry typically fail to reach the theoretical sensitivity limit set by the Cram\'er-Rao bound (CRB).

Cannot find the paper you are looking for? You can Submit a new open access paper.