Concentrated Differentially Private Federated Learning With Performance Analysis

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Hu, Rui, et al. “Concentrated Differentially Private Federated Learning With Performance Analysis”. IEEE Open Journal of the Computer Society, vol. 2, 2021, pp. 276-89, https://doi.org/10.1109/ojcs.2021.3099108.
Hu, R., Guo, Y., & Gong, Y. (2021). Concentrated Differentially Private Federated Learning With Performance Analysis. IEEE Open Journal of the Computer Society, 2, 276-289. https://doi.org/10.1109/ojcs.2021.3099108
Hu R, Guo Y, Gong Y. Concentrated Differentially Private Federated Learning With Performance Analysis. IEEE Open Journal of the Computer Society. 2021;2:276-89.
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Refrences
Title Journal Journal Categories Citations Publication Date
Local SGD converges fast and communicates little 2019
On the convergence of FedAvg on non-IID data 2019
Learning differentially private recurrent language models 2018
cpSGD: Communication-efficient and differentially-private distributed SGD 2018
Communication-efficient learning of deep networks from decentralized data 2017