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1篇 您的检索式：作者名="Tianping Deng"

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		题名	作者	年代	出处	被引量
	1	Safeguarding cross-silo federated learning with local differential privacy显示文摘Federated Learning(FL)is a new computing paradigm in privacy-preserving Machine Learning(ML),where the ML model is trained in a decentralized manner by the clients,preventing the server from directly accessing privacy-sensitive data from the clients.Unfortunately,recent advances have shown potential risks for user-level privacy breaches under the cross-silo FL framework.In this paper,we propose addressing the issue by using a three-plane framework to secure the cross-silo FL,taking advantage of the Local Differential Privacy(LDP)mechanism.The key insight here is that LDP can provide strong data privacy protection while still retaining user data statistics to preserve its high utility.Experimental results on three real-world datasets demonstrate the effectiveness of our framework.	Chen Wang Xinkui Wu Gaoyang Liu Tianping Deng Kai Peng Shaohua Wan	2022	Digital Communications and Networks2022，8，4：	0

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