FederatedLearning_paper

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Because GitHub cannot display some latex formulas correctly, images are used to represent them.

Content

出版物	时间	论文
TDSC	2024	Efficient and secure federated learning against backdoor attacks
TSC	2024	Efficient and Privacy-Enhanced Federated Learning Based on Parameter Degradation
IWQOS	2021	FedEraser: Enabling efficient client-level data removal from federated learning models
IJCAI	2024	Unlearning during learning: An efficient federated machine unlearning method
CVPR	2025	Unlearning through knowledge overwriting: Reversible federated unlearning via selective sparse adapter

Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
.vscode		.vscode
Efficient and secure federated learning against backdoor attacks		Efficient and secure federated learning against backdoor attacks
Efficient_and_Privacy-Enhanced_Federated_Learning_Based_on_Parameter_Degradation		Efficient_and_Privacy-Enhanced_Federated_Learning_Based_on_Parameter_Degradation
FedEraser Enabling efficient client-level data removal from federated learning models		FedEraser Enabling efficient client-level data removal from federated learning models
FedPHE A Secure and Efficient Federated Learning via Packed Homomorphic Encryption		FedPHE A Secure and Efficient Federated Learning via Packed Homomorphic Encryption
Unlearning during learning An efficient federated machine unlearning method		Unlearning during learning An efficient federated machine unlearning method
Unlearning through knowledge overwriting Reversible federated unlearning via selective sparse adapter		Unlearning through knowledge overwriting Reversible federated unlearning via selective sparse adapter
[zh]Attention is all you need		[zh]Attention is all you need
范数		范数
README.md		README.md