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Federated learning defense system
A backdoor defense system for federated learning, designed to protect against data poisoning attacks by isolating subspace training and aggregating models with robust consensus fusion.
A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)
18 stars
4 watching
3 forks
Language: Python
last commit: 12 months ago Related projects:
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