no code implementations • 21 Apr 2024 • Xu Yang, Jiapeng Zhang, Qifeng Zhang, Zhuo Tang
In federated learning, particularly in cross-device scenarios, secure aggregation has recently gained popularity as it effectively defends against inference attacks by malicious aggregators.
no code implementations • 9 Jan 2024 • Zhiwei Zuo, Zhuo Tang, Kenli Li, Anwitaman Datta
Machine unlearning techniques, which involve retracting data records and reducing influence of said data on trained models, help with the user privacy protection objective but incur significant computational costs.
no code implementations • 4 Jan 2024 • Zhiwei Zuo, Zhuo Tang, Bin Wang, Kenli Li, Anwitaman Datta
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