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GitHub / wenzhu23333 / Differential-Privacy-Based-Federated-Learning
Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )
Stars: 255
Forks: 43
Open Issues: 4
License: gpl-3.0
Language: Python
Repo Size: 50 MB
Dependencies:
6
Created: about 2 years ago
Updated: 2 months ago
Last pushed: about 2 months ago
Last synced: about 2 months ago
Topics: deep-learning, differential-privacy, federated-learning, gaussian, laplace, privacy, pytorch
Files
Dependencies
- matplotlib ==3.4.3
- numpy ==1.21.2
- opacus ==0.15.0
- scikit_learn ==1.0.1
- torch ==1.10.1
- torchvision ==0.11.2