Survey on Attacks and Defenses in Federated Learning
Federated learning is proposed to solve the contradiction between data sharing and privacy-preserving.It aims to build collaborative models by securely interacting irreversible information (e.g.,model parameters or gradient updates).However,the risks of privacy leakage and malicious attacks in the p...
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| Format: | Article |
| Language: | zho |
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Editorial office of Computer Science
2022-07-01
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| Series: | Jisuanji kexue |
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| Online Access: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-7-310.pdf |