Locally Random Sampling for Practical Privacy Protection in Federated Learning-Reference-Cited by-同舟云学术

Locally Random Sampling for Practical Privacy Protection in Federated Learning

Author:

Wang Weiqi¹,Liu Shushu²,Liu An³,Liang Christy Jie¹,Yu Shui¹

Affiliation:

1. University of Technology Sydney

2. Aalto University

3. Soochow University

Publisher

IEEE

Link

Reference19 articles.

1. A framework for evaluating gradient leakage attacks in federated learning;wei;ArXiv Preprint,2020

3. Flame: Differentially private federated learning in the shuffle model;liu;AAAI,2020

4. Federated model distillation with noise-free differential privacy;sun;ArXiv Preprint,2020

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