Federate Learning 攻防复现篇

更新日期截止2020年5月22日，项目定期维护和更新，维护各种SOTA的Federated Learning的攻防模型。(更新中。。）

论文 (Defend)

(Krum): Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent【NIPS 2017】
(trimmed_mean): D. Yin, Y. Chen, K. Ramchandran, and P. Bartlett. Byzantine-robust distributed learning: Towards optimal statistical rates. In Proceedings of the International Conference on Machine Learning (ICML), 2018.
(bulyan): E. M. El Mhamdi, R. Guerraoui, and S. Rouault. The hidden vulnerability of distributed learning in Byzantium. In Proceedings of the 35th International Conference on Machine Learning (ICML), pages 3521–3530, 2018.

代码运行

mkdir logs
python main.py

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
backdoor.py		backdoor.py
checkdata.py		checkdata.py
data_sets.py		data_sets.py
defences.py		defences.py
main.py		main.py
malicious.py		malicious.py
readme.md		readme.md
server.py		server.py
user.py		user.py