R-PPDFL: A Robust and Privacy-Preserving Decentralized Federated Learning System

Author:

Chen TaoORCID,Wang XiaofenORCID,Dai Hong-NingORCID

Publisher

Springer Nature Singapore

Reference21 articles.

1. Lecture Notes in Computer Science;M Abdalla,2020

2. Agency, X.N.: Data security law of the people’s republic of China. https://www.gov.cn/xinwen/2021-06/11/content_5616919.htm

3. Agency, X.N.: Personal information protection law of the people’s republic of China. https://www.gov.cn/xinwen/2021-08/20/content_5632486.htm

4. Bagdasaryan, E., Veit, A., Hua, Y., Estrin, D., Shmatikov, V.: How to backdoor federated learning. In: International Conference on Artificial Intelligence and Statistics, pp. 2938–2948. PMLR (2020)

5. Blanchard, P., El Mhamdi, E.M., Guerraoui, R., Stainer, J.: Machine learning with adversaries: Byzantine tolerant gradient descent. In: Advances in Neural Information Processing Systems, vol. 30 (2017)

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